A comparative study of matched pair designs with two binary endpoints

We study matched pair designs with two binary endpoints under three different approaches. Power approximation and sample size calculation are derived under these situations and facilitated by R programs. An adaptive design with sample size re-estimation is also presented. Through extensive simulations, we provide general guidelines for practitioners to choose the best approach according to the ranges of the interested parameters in the sense of feasibility and robustness. Application to a cancer chemotherapy trial is illustrated.

Download Full-text

MEDICAL VS SURGICAL TREATMENT FOR SYMPTOMATIC ENLARGED INFERIOR TURBINATE: A COMPARATIVE STUDY

Pakistan Armed Forces Medical Journal ◽

10.51253/pafmj.v1i1.7932 ◽

2021 ◽

Vol 71 (Suppl-3) ◽

pp. S487-90

Author(s):

Habib -Ur- Rehman ◽

Fazal -I- Wahid ◽

Bakht Zada ◽

Muhammad Javaid ◽

Naseem Ul Haq

Keyword(s):

Surgical Treatment ◽

Comparative Study ◽

Sample Size ◽

Sample Size Calculation ◽

Inferior Turbinate ◽

Nasal Patency ◽

Female Ratio ◽

Significant Difference ◽

Group A ◽

Group B

Objective: To determine the nasal patency after reducing the size of hypertrophied inferior turbinate with medication and surgery. Study Design: Prospective comparative study. Place and Duration of Study: Department of Ear, Nose, Throat, Head and Neck Surgery, Medical Teaching Institute, Lady Reading Hospital, Peshawar Pakistan, from Jan to Dec 2019. Methodology: This study was conducted at the After-sample size calculation using an online sample size calculator (OpenEpi) and after obtaining informed consent patients were divided into two groups. Patients in group A were put on medicine only and in group B surgery was conducted to reduce the size of hypertrophied inferior turbinate. Data were analyzed using SPSS version 25 and p<0.05 was considered significant. Results: This study comprised of total 86 patients, in the age range 15-55 years with mean ± SD age 33.47 ± 9.57 years. Males were 47 (54.7%) and females were 39 (45.3%) with male to female ratio of 1.2:1. In group A, males were 22 (25.25%), females were 21 (24.41%), while in group B males were 25 (29.1%) and females were 18 (20.3%). There was no statistically significant difference in nasal patency between the two groups before treatment (p=0.59) and after 10 days of treatment (p=0.69). However, at the end of one month, there was a statistically significant difference in nasal patency between the medically treated and surgically treated groups of patients (p=0.023).Conclusion: Surgical treatment is significantly effective than medical treatment alone.

Download Full-text

Assessment of patient satisfaction in a tertiary and secondary hospitals of east Godavari district: a comparative study

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20200974 ◽

2020 ◽

Vol 7 (3) ◽

pp. 1104

Author(s):

Pidakala Mary Moses ◽

G. Krishna Babu ◽

K. V. S. Prasad ◽

Jhansi Nadipena

Keyword(s):

Health Care ◽

Patient Satisfaction ◽

Comparative Study ◽

Sample Size ◽

Health Care Delivery ◽

Care Delivery ◽

Sample Size Calculation ◽

The People ◽

Primary Means ◽

Version 2.0

Background: Satisfaction is an important element in the evaluation of services rendered by a hospital. Patient satisfaction is as important as other clinical health measures and is a primary means of measuring the effectiveness of health care delivery. It refers to the patient's state of being adequately rewarded. Patient satisfaction is a measure of success of the services being provided by the hospitals. Objective of the study was to assess the satisfaction levels of the people utilizing various services provided in secondary and tertiary health care delivery settings.Methods: Observational hospital based comparative study conducted among Inpatients aged 18 yrs and above from different wards who are discharged during the study period and are willing to participate in the study at Secondary and tertiary health care centres of East Godavari District during May 2015 to April 2016. Sample size was calculated using n-master version 2.0. Sample size calculation was based on assumption that the prevalence of patient satisfaction as 50% with mean difference of satisfaction of 15%, confidence interval of 95%, α - error of 5%, power 90%, with effect size 0.3, sample size estimated was 234 in each setting resulting in a cumulative sample size of 702.Results: It was found that 64.52% of inpatients of District Hospital, Rajahmundry, have expressed neutrality or dissatisfaction regarding overall admission services as compared to 49.14% in Government General Hospital, Kakinada and 14.52% in Area Hospital, Rampachodavaram.Conclusions: The overall patient satisfaction was observed to be around 80% for all the three hospitals.

Download Full-text

Sample size considerations for matched-pair cluster randomization design with incomplete observations of continuous outcomes

Contemporary Clinical Trials ◽

10.1016/j.cct.2021.106336 ◽

2021 ◽

pp. 106336

Author(s):

Xiaohan Xu ◽

Hong Zhu ◽

Chul Ahn

Keyword(s):

Sample Size ◽

Matched Pair ◽

Cluster Randomization ◽

Incomplete Observations ◽

Continuous Outcomes

Download Full-text

Simulation-Based Sample-Size Calculation for Designing New Clinical Trials and Diagnostic Test Accuracy Studies to Update an Existing Meta-Analysis

The Stata Journal Promoting communications on statistics and Stata ◽

10.1177/1536867x1301300302 ◽

2013 ◽

Vol 13 (3) ◽

pp. 451-473 ◽

Cited By ~ 6

Author(s):

Michael J. Crowther ◽

Sally R. Hinchliffe ◽

Alison Donald ◽

Alex J. Sutton

Keyword(s):

Clinical Trials ◽

Sample Size ◽

Diagnostic Test ◽

Meta Analysis ◽

Sample Size Calculation ◽

Diagnostic Test Accuracy ◽

Test Accuracy ◽

Simulation Based

Download Full-text

The most frequently asked question to a statistician: The sample size

Multiple Sclerosis Journal ◽

10.1177/1352458517695471 ◽

2017 ◽

Vol 23 (5) ◽

pp. 644-646 ◽

Cited By ~ 2

Author(s):

Maria Pia Sormani

Keyword(s):

Clinical Study ◽

Sample Size ◽

Study Design ◽

Treatment Effect ◽

Sample Size Calculation ◽

Ethical Implications ◽

Number Of Patients ◽

Reducing Costs ◽

Correct Size

The calculation of the sample size needed for a clinical study is the challenge most frequently put to statisticians, and it is one of the most relevant issues in the study design. The correct size of the study sample optimizes the number of patients needed to get the result, that is, to detect the minimum treatment effect that is clinically relevant. Minimizing the sample size of a study has the advantage of reducing costs, enhancing feasibility, and also has ethical implications. In this brief report, I will explore the main concepts on which the sample size calculation is based.

Download Full-text

Sample size calculation for clinical trials in which entry criteria and outcomes are counts of events

Statistics in Medicine ◽

10.1002/sim.4780130806 ◽

1994 ◽

Vol 13 (8) ◽

pp. 859-870 ◽

Cited By ~ 18

Author(s):

Robert P. McMahon ◽

Michael Proschan ◽

Nancy L. Geller ◽

Peter H. Stone ◽

George Sopko

Keyword(s):

Clinical Trials ◽

Sample Size ◽

Sample Size Calculation

Download Full-text

Regression dilution bias: Tools for correction methods and sample size calculation

Upsala Journal of Medical Sciences ◽

10.3109/03009734.2012.668143 ◽

2012 ◽

Vol 117 (3) ◽

pp. 279-283 ◽

Cited By ~ 15

Author(s):

Lars Berglund

Keyword(s):

Sample Size ◽

Sample Size Calculation

Download Full-text

Prevalence of Ectopic Eruption, Impaction, Retention and Agenesis of the Permanent Second Molar

The Angle Orthodontist ◽

10.2319/072506-306.1 ◽

2007 ◽

Vol 77 (5) ◽

pp. 773-778 ◽

Cited By ~ 43

Author(s):

Lars Bondemark ◽

Jola Tsiopa

Keyword(s):

Early Diagnosis ◽

Sample Size ◽

Sample Size Calculation ◽

Optimal Time ◽

Second Molar ◽

Ectopic Eruption ◽

Delayed Eruption ◽

Dental Records ◽

The Times ◽

The City

Abstract Objective: To elucidate the prevalence of ectopic eruption, impaction, and primary and secondary retention as well as agenesis of the permanent second molar (M2) among adolescents. Materials and Methods: After a sample size calculation, dental records, including radiographs, of 1543 patients (722 girls and 821 boys), from three clinics in the city of Malmoe, Sweden, were retrospectively analyzed. Series of annual records and radiographs were examined for all patients from 10 to 16 years of age and were carried out during 2004–2006. The prevalence of ectopic eruption, impaction, and primary and secondary retention as well as agenesis of M2s was registered in a standardized manner and according to preset definitions. In addition, the times of emergence of the M2s were recorded. Results: The prevalence of ectopic eruption of M2 was 1.5%, the prevalence of primary retention was 0.6%, and the prevalence of impaction was 0.2%. This means that the overall prevalence of eruption disturbances was 2.3%. In addition, the prevalence of agenesis was 0.8%. The prevalence of ectopic eruption was significantly higher in the mandible. Those patients with eruption disturbances and agenesis of M2 showed significantly delayed eruption of their other M2s compared to the individuals without any eruption disturbances. Conclusions: The prevalence of eruption disturbances was higher than reported earlier, and, even if the disturbances do not occur frequently, it is important to develop an early diagnosis in order to start the treatment at the optimal time.

Download Full-text