scholarly journals Basics of Statistics for Clinical Research in Hand Surgery

2018 ◽  
Vol 46 (02) ◽  
pp. 150-171 ◽  
Author(s):  
Roberto Rosales ◽  
Isam Atroshi

AbstractStatistics, the science of numerical evaluation, helps in determining the real value of a hand surgical intervention. Clinical research in hand surgery cannot improve without considering the application of the most appropriate statistical procedures. The purpose of the present paper is to approach the basics of data analysis using a database of carpal tunnel syndrome (CTS) to understand the data matrix, the generation of variables, the descriptive statistics, the most appropriate statistical tests based on how data were collected, the parameter estimation (inference statistics) with p-value or confidence interval, and, finally, the important concept of generalized linear models (GLMs) or regression analysis.

Author(s):  
T. K. Hariprasath ◽  
Palati Sinduja ◽  
R. Priyadharshini

Introduction: Palatine Tonsils are paired lymph node organs located on each side of the back of your throat. They function as a defense mechanism and help prevent body from getting an infection. When tonsils become infected, the condition is called tonsillitis. Aim: This article aims to know the knowledge and awareness of dental students on Tonsillitis diseases. Materials and Methods: A questionnaire of 16 questions was created and entered in the online survey creator ‘Google Forms’ and shared among each student of about 100 individually and privately and data were collected subject to statistical analysis using SPSS software. Statistical tests used were descriptive statistics and Chi-square tests. A P-value less than 0.05 will be  considered statistically significant. Results and Conclusion: Results of this study suggest that Third-year students more aware of symptoms of tonsillitis 20%, complications of tonsillitis 20% and symptoms associated with strep throat 18% than students of other year and they need an effective education and awareness campaign to increase their knowledge and awareness on Tonsillitis.


Author(s):  
Valentin Amrhein ◽  
David Trafimow ◽  
Sander Greenland

Statistical inference often fails to replicate. One reason is that many results may be selected for drawing inference because some threshold of a statistic like the P-value was crossed, leading to biased reported effect sizes. Nonetheless, considerable non-replication is to be expected even without selective reporting, and generalizations from single studies are rarely if ever warranted. Honestly reported results must vary from replication to replication because of varying assumption violations and random variation; excessive agreement itself would suggest deeper problems, such as failure to publish results in conflict with group expectations or desires. A general perception of a "replication crisis" may thus reflect failure to recognize that statistical tests not only test hypotheses, but countless assumptions and the entire environment in which research takes place. Because of all the uncertain and unknown assumptions that underpin statistical inferences, we should treat inferential statistics as highly unstable local descriptions of relations between assumptions and data, rather than as generalizable inferences about hypotheses or models. And that means we should treat statistical results as being much more incomplete and uncertain than is currently the norm. Acknowledging this uncertainty could help reduce the allure of selective reporting: Since a small P-value could be large in a replication study, and a large P-value could be small, there is simply no need to selectively report studies based on statistical results. Rather than focusing our study reports on uncertain conclusions, we should thus focus on describing accurately how the study was conducted, what problems occurred, what data were obtained, what analysis methods were used and why, and what output those methods produced.


2018 ◽  
Author(s):  
Valentin Amrhein ◽  
David Trafimow ◽  
Sander Greenland

Statistical inference often fails to replicate. One reason is that many results may be selected for drawing inference because some threshold of a statistic like the P-value was crossed, leading to biased effect sizes. Nonetheless, considerable non-replication is to be expected even without selective reporting, and generalizations from single studies are rarely if ever warranted. Honestly reported results must vary from replication to replication because of varying assumption violations and random variation; excessive agreement itself would suggest deeper problems, such as failure to publish results in conflict with group expectations or desires. A general perception of a "replication crisis" may thus reflect failure to recognize that statistical tests not only test hypotheses, but countless assumptions and the entire environment in which research takes place. Because of all the uncertain and unknown assumptions that underpin statistical inferences, we should treat inferential statistics as highly unstable local descriptions of relations between assumptions and data, rather than as generalizable inferences about hypotheses or models. And that means we should treat statistical results as being much more incomplete and uncertain than is currently the norm. Acknowledging this uncertainty could help reduce the allure of selective reporting: Since a small P-value could be large in a replication study, and a large P-value could be small, there is simply no need to selectively report studies based on statistical results. Rather than focusing our study reports on uncertain conclusions, we should thus focus on describing accurately how the study was conducted, what data resulted, what analysis methods were used and why, and what problems occurred.


Author(s):  
James Carr

Here, we’ll attempt to provide an introduction to what statistics are, some key concepts, and some of the more common tests used in clinical research. It is not a definitive chapter — whole books exist detailing just one of the tests we’ll talk about here and it’s not likely that you have the time or inclination for that! Rather, it is an attempt to help you think about the uses and limitations of statistics and how they might fit into the overall process of your research design. In clinical research much of the data you will collect will be numerical. Collecting the data is, however, just the first stage — then, you have to make sense of it. This is where statistics come into play. The science of collecting and interpreting numerical data, statistics can be used to describe data, such as by calculating averages and distributions ( descriptive statistics) or to draw inferences by analysing patterns and relationships within the data ( inferential statistics). Inferential statistics will usually form the main part of any analysis. Statistical analysis hinges on the use of sampling. In clinical research it is rarely possible to examine whole populations and as a result a sample is drawn from the relevant population. The difficulty with this is that one can never be certain that the sample is representative of the population as a whole and so that some form of bias is not operating. Good experimental design can minimize but not eliminate this possibility; consequently there will always be an element of doubt as to whether a genuine effect is being observed or if we are simply witnessing random variations in a data set. Statistics allow us to analyse patterns within the sample data and to draw inferences about the wider population. One must always bear in mind that statistical tests are used to determine if a prediction we make can actually be supported. They do not provide actual proof that we are correct; if our theory holds up statistically, we are less likely to be incorrect. Equally, if our theory were incorrect the statistics would be unlikely to support it.


Author(s):  
Valentin Amrhein ◽  
David Trafimow ◽  
Sander Greenland

Statistical inference often fails to replicate. One reason is that many results may be selected for drawing inference because some threshold of a statistic like the P-value was crossed, leading to biased reported effect sizes. Nonetheless, considerable non-replication is to be expected even without selective reporting, and generalizations from single studies are rarely if ever warranted. Honestly reported results must vary from replication to replication because of varying assumption violations and random variation; excessive agreement itself would suggest deeper problems, such as failure to publish results in conflict with group expectations or desires. A general perception of a "replication crisis" may thus reflect failure to recognize that statistical tests not only test hypotheses, but countless assumptions and the entire environment in which research takes place. Because of all the uncertain and unknown assumptions that underpin statistical inferences, we should treat inferential statistics as highly unstable local descriptions of relations between assumptions and data, rather than as generalizable inferences about hypotheses or models. And that means we should treat statistical results as being much more incomplete and uncertain than is currently the norm. Acknowledging this uncertainty could help reduce the allure of selective reporting: Since a small P-value could be large in a replication study, and a large P-value could be small, there is simply no need to selectively report studies based on statistical results. Rather than focusing our study reports on uncertain conclusions, we should thus focus on describing accurately how the study was conducted, what problems occurred, what data were obtained, what analysis methods were used and why, and what output those methods produced.


2019 ◽  
Vol 11 (2) ◽  
pp. 87-92
Author(s):  
Dwi Indah Iswanti ◽  
Fery Agusman Motuho Mendrofa ◽  
Diyanto Diyanto

Kemandirian bukanlah keterampilan yang muncul secara tiba-tiba tetapi perlu diajarkan dan dilatih pada anak agar tidak menghambat tugas- tugas perkembangan anak selanjutnya. Terutama pada anak yang mengalami retardasi mental akan sangat membutuhkan dukungan dari keluarga. Tujuan penelitian untuk mengetahui hubungan  dukungan keluarga dengan tingkat kemandirian anak retardasi mental di SLB Negeri Semarang. Penelitian ini menggunakan metode kuantitatif dengan pendekatan cross sectional. Populasi dalam penelitian ini adalah seluruh orang tua siswa kelas IV-VI di SLB Negeri Semarang yang berjumlah 64 siswa. Teknik sampling yang digunakan adalah total sampling. Dukungan keluarga pada anak retardasi mental sebagian besar adalah mendukung yaitu sebanyak 53,1%, kemandirian anak retardasi mental sebagian besar adalah kurang mandiri yaitu sebanyak 53,1%. Hasil uji statistik menemukan ada hubungan antara dukungan keluarga dengan kemandirian anak retardasi mental di SLB Negeri Semarang, dengan p value sebesar 0,000.   Kata kunci : dukungan keluarga, kemandirian anak retardasi mental THE CORRELATION BETWEEN FAMILY SUPPORT AND THE LEVEL OF INDEPENDENCE OF MENTALLY RETARDED CHILDREN   ABSTRACT Independence is not a skill that emerges suddenly but needs to be taught and trained in children so as not to inhibit the tasks of further child development. Especially for children who are mentally retarded, they will need support from the family. Research objectives to find out the correlation between family support and the level of independence of mentally retarded children in extraordinary school State of Semarang. This study uses a quantitative method with a cross sectional approach. The population in this study were all parents of students in class IV-VI in Semarang State SLB, amounting to 64 students. The sampling technique used is total sampling. Family support for mentally retarded children was mostly supportive, as much as 53.1%, the independence of most mentally retarded children was less independent, which was as much as 53.1%. The results of statistical tests found that there was a correlation between family support and the independence of mentally retarded children in Semarang State SLB, with a p value of 0,000.   Keywords: family support, independence of mentally retarded children


2018 ◽  
Vol 1 (1) ◽  
pp. 34
Author(s):  
Ni Nyoman Novita ◽  
Gusman Arsyad

Implementation of IMD in hospitals has decreased from the previous year and has not reached the target set by the government. Some IMD implementation processes have not been carried out according to applicable standards. So that babies do not get an IMD in accordance with existing SOPs. The purpose of this study was to determine the determinant factors associated with the implementation of the IMD by midwives in the Midwifery and Maternity Room Emergency Room (IGD) at the Anutapura General Hospital in Palu. This research method is analytical with cross sectional approach. The population of this study was that all midwives in the obstetrics emergency room and maternity room at Anutapura Palu Hospital were 37 respondents. The sample in this study is total sampling. The analysis used was univariate, and bivariate analysis using the chi square test with a confidence level of 95% (α = 0.05). The results of statistical tests on variable knowledge of midwives with the implementation of IMD p value: 0.018 (p value <0.05). APN training with the implementation of IMD p value: 0.697 (p value> 0.05). length of work with the implementation of IMD p value: 0.029 (p value <0.05). and peer support with the implementation of IMD p value: 0.007 (p value <0.05). Conclusions there is a relationship between knowledge, length of work, peer support with the implementation of the IMD, and training factors that have nothing to do with IMD implementation. The strongest factor in the relationship is peer support. It is recommended that the Anutarapura Palu Hospital be able to motivate midwives so that they can further enhance their role in the implementation and provide support to their colleagues so that the implementation of the IMD can be carried out in accordance with applicable standards.Keywords: Knowledge, APN Training, Duration of work, Implementation of IMD


Author(s):  
Leny Leny

ABSTRACT Prenatal care is health care by health personnel to care the pregnant according to standards. Worlrd Health Organization (WHO) estimates more than 500.000 women die during pregnancy or childbirth. Maternal mortality in Indonesia is 307 per 100,000 live births. The quantity of pregnant women’s visit in Kabupaten Banyuasin in 2009 of 89.1%. The purpose of this study to determine the relationship between education and occupation with prenatal care at Puskesmas Mariana  Kecamatan Banyuasin I Kabupaten Banyuasin in 2011. This study uses analytic approach survey by Cross Sectional methods, the population are 1.946 pregnant women and the samples as many as 332 people. The results of univariate analysis study of pregnant women who are higher education as much as 45.2%, and  low maternal education as much as 54.8%. In pregnant women who work of 43.4%, and pregnant women who do not work for 56.6%. From the results of bivariate analysis and Chi-Square statistical tests found a significant association between education of pregnant women with prenatal care with P Value = 0.000, and there was a significant association between occupation of pregnant women with prenatal care with P Value = 0.000. Can be concluded that there is a relationship between education and occupation of pregnant women with prenatal care. Expected to health workers to provide counseling on the importance of prenatal care in pregnant women and expected future studies may explore again the factors associated with prenatal care with the different variables.   ABSTRAK Pemeriksaan kehamilan adalah pelayanan kesehatan oleh tenaga kesehatan untuk memeriksakan ibu hamil sesuai standar. World Health Organization (WHO) memperkirakan lebih dari 500.000 ibu pertahunnya meninggal saat hamil atau bersalin. AKI di Indonesia 307 per 100.000 kelahiran hidup. Jumlah kunjungan ibu hamil di Kabupaten Banyuasin tahun 2009 sebesar 89,1%. Tujuan penelitian ini untuk mengetahui hubungan antara pendidikan dan pekerjaan dengan pemeriksaan kehamilan di Puskesmas Mariana Kecamatan Banyuasin I Kabupaten Banyuasin tahun  2011. Penelitian ini menggunakan metode survey analitik dengan pendekatan Cross Sectional, populasi ibu hamil dengan jumlah 1.946 orang dan jumlah sampel sebanyak 332 orang. Hasil penelitian Analisa Univariat adalah ibu hamil yang pendidikan tinggi sebanyak 45,2%, dan pendidikan rendah ibu hamil sebanyak 54,8%. Pada variabel pekerjaan ibu hamil yang bekerja sebesar 43,4%, dan ibu hamil yang tidak bekerja sebesar 56,6%. Dari hasil analisa bivariat dan uji statistik Chi-Square  didapatkan hubungan yang bermakna antara pendidikan ibu hamil dengan pemeriksaan kehamilan dengan  P Value = 0,000, dan ada hubungan yang bermakna antara pekerjaan ibu hamil dengan pemeriksaan kehamilan dengan P Value = 0,000. Dapat disimpulkan bahwa ada hubungan antara pendidikan dan pekerjaan ibu hamil dengan pemeriksaan kehamilan. Diharapkan kepada petugas kesehatan agar dapat memberikan penyuluhan tentang pentingnya pemeriksaan pada ibu hamil dan diharapkan penelitian yang akan datang dapat menggali lagi faktor-faktor yang berhubungan dengan pemeriksaan kehamilan dengan variabel yang berbeda.


Author(s):  
Rajat Deb ◽  
Anirima Datta

Objectives: The present study seeks to examine the perception of the graduate students and pensioners of some selected localities of Kolkata about the importance of ATMs as a branch surrogate, impact of the ceiling on withdrawals from ATMs, and the strategies to win over the capping for the customers as well as for the banks to retain them. Participants and Data collection: It obtained primary data from 200 respondents consisting of 140 graduate students and 60 pensioners using different non-probability sampling techniques through schedule and personal interviews. Research Methods: Different statistical tests like factor analysis, Mann Whitney U test, students t-test, regression analysis, and descriptive statistics were performed to assess support for the hypotheses. The reliability of the questions and sample adequacy test was also carried out. Through factor analysis, five major factors viz. perceptions about ATM- an avatar for banks, customers satisfaction in ATM services, customers repercussion on capping, financial planning for withdrawals, and strategies for customers to avoid charges and for banks to retain them were extracted. Results: The results of the study suggest that youth prefer to use ATMs which has become indispensable and provide diversified financial services that leads to customers satisfaction, but withdrawing now requires some planning as customers need to visit branches to avoid fees. To retain the customers the banks should encourage the use of more electronic cards and net banking, should not charge for withdrawing own funds, allow them to access even the non-home branch ATMs close to the their locality, should reduce the minimum average floor balance to enjoy free unlimited access of home bank ATMs and keep currency of higher denomination to reduce the number of transactions.


2021 ◽  
Vol 9 ◽  
pp. 205031212110202
Author(s):  
Rgda Mohamed Osman ◽  
Mounkaila Noma ◽  
Abdallah Elssir Ahmed ◽  
Hanadi Abdelbagi ◽  
Rihab Ali Omer ◽  
...  

Objectives: Rheumatoid arthritis is a chronic inflammatory autoimmune disease. This study aimed to determine the association of interleukin-17A-197G/A polymorphism with rheumatoid arthritis in Sudanese patients. Methods: A case–control study was conducted between March and December 2018. Clinical and demographic data of the study participants were collected and analyzed. Polymerase chain reaction restriction fragment length polymorphism molecular technique was done to investigate interleukin-17A-197G/A polymorphisms. All statistical tests were considered statistically significant when p < 0.05. Results: The study population included 266 participants aged between 1 and 85 years, with an average of 40 years, classified into 85 (31.2%) cases (mean age 48.5 ± 11.3 years), and 181 (68.8%) controls (mean age 35.3 ± 15.9 years). The interleukin-17A homozygote AA genotype was more frequent among the control group compared to the case group; 95 (52.5%) and 7 (8.2%), respectively. The homozygote GG and the heterozygote AG genotypes were proportionally not different among the cases and control groups; 13 (54.2%) and 11 (45.8%), and 65 (46.4%) and 75 (53.6%), respectively. According to the distribution of interleukin-17A genotypes, a statistically significant difference was observed among cases with the interleukin-17A AA and AG genotypes, p values 0.001 and 0.004, respectively. For the association interleukin-17A genotypes and family history a negatively significant association was reported (95% confidence interval, –0.219, p value = 0.001). There was also a negatively significant association of interleukin-17A genotypes and anti-cyclic citrullinated peptide (95% confidence interval, −0.141, p value = 0.002). Conclusion: This study is the first study in Sudan established the association between interleukin-17A-197G/A (rs2275913) polymorphisms and susceptibly to rheumatoid arthritis. These findings appeal for further research in Sudan to investigate the exact role of IL-17A in immunopathology and disease severity among Sudanese rheumatoid arthritis


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