17. A Guide to Multivariate Analysis

Author(s):  
Sandra Halperin ◽  
Oliver Heath

This chapter extends the principles of bivariate analysis to multivariate analysis, which takes into account more than one independent variable and the dependent variable. With multivariate analysis, it is possible to investigate the impact of multiple factors on a dependent variable of interest, and to compare the explanatory power of rival hypotheses. Multivariate analysis can also be used to develop and test multi-causal explanations of political phenomena. After providing an overview of the principles of multivariate analysis, and the different types of analytical question to which they can be applied, the chapter shows how multivariate analysis is carried out for statistical control purposes. More specifically, it explains the use of OLS regression and logistic regression, the latter of which builds on cross-tabulation, to carry out multivariate analysis. It also discusses the use of multivariate analysis to debunk spurious relationships and to illustrate indirect causality.

2020 ◽  
pp. 451-480
Author(s):  
Sandra Halperin ◽  
Oliver Heath

This chapter extends the principles of bivariate analysis to multivariate analysis, which takes into account more than one independent variable and the dependent variable. With multivariate analysis, it is possible to investigate the impact of multiple factors on a dependent variable of interest, and to compare the explanatory power of rival hypotheses. Multivariate analysis can also be used to develop and test multi-causal explanations of political phenomena. After providing an overview of the principles of multivariate analysis, and the different types of analytical question to which they can be applied, the chapter shows how multivariate analysis is carried out for statistical control purposes. More specifically, it explains the use of ordinary least squares (OLS) regression and logistic regression, the latter of which builds on cross-tabulation, to carry out multivariate analysis. It also discusses the use of multivariate analysis to debunk spurious relationships and to illustrate indirect causality.


2019 ◽  
pp. 1-11
Author(s):  
Javier Saucedo-Monarque ◽  
Oscar Ernesto Hernández-Ponce ◽  
Luis Enrique Valdez-Juárez

The results presented in this study related the factor of organizational culture with innovation for the development of small tourist businesses (SMEs) in the municipality of Caborca, Sonora. For which an exploratory analysis of the model, was made to subsequently analyze the Association of variables through the model of the Chi-square and thus be able to check the predictive and explanatory power of the same by means of Probit and Logit analysis. The collection of data was used as measurement instrument a structured questionnaire was administered to managers or entrepreneurs of tourism SMEs in the municipality of Caborca, Sonora. Where was the reliability of the instrument for measuring, the R² and significance of the model Chi square statistical analysis was used to identify the relationship and association between the variables of the proposed model, obtaining the coefficient Gamma with a strong correlation between the variables, as well as Gamma, Probit and Logit values, acceptable values for the relationship between the dependent variable and the independent variable was observed. A higher rate and robustness of prediction of the variables with acceptable significance was also obtained.


Author(s):  
Akbar N D Saputra ◽  
Agustria Z Shaleh ◽  
Patiyus Agustiansyah ◽  
Theodorus Theodorus

Abstract Objective: to determine risk factors inhydatidiform mole patients who will develop into Gestational Trophoblast Neoplasm (GTN) in Dr.Mohammad Hoesin Hospital Palembang Method: An observational analytical study with case control design was conducted in Department of Obstetrics and Gynecology in Dr. Mohammad Hoesin Hospital Palembang / Faculty of Medicine Sriwijaya University Palembang from January 2017 to August 2017. The frequency and distribution of data are described in tables. Bivariate analysis was done to determine correlation between independent variable and dependent variable using Chi Square/Fisher Exact test and multivariate analysis  was used to know which independent variable has the biggest influence to the occurrence of Gestational TrophoblastNeoplasm (GTN) post evacuation of hydatidiform mole. Data analysis was done using SPSS version 21.0. Results: There were 45 patients who fulfilled inclusion criteria with control group and case group ratio 1 : 2 (15 cases and 30 controls). Statistical analysis showed a significant correlation between patient age, pre-evacuation β HCG level, parity, and histopathologic appearance with occurrence of Gestational Trophoblast Neoplasm (GTN) after evacuation of hydatidiform mole (p <0,05). From multivariate analysis, it was found that pre-evacuation β HCG levels ≥ 134,182.5 mIU/ml was a risk factor of Gestational Trophoblast Neoplasm (OR = 77.008, p value = 0.004). Conclusion: Pre-evacuation β HCG levels ≥ 134,182.5 mIU / ml is a risk factor for the occurrence of Gestational Trophoblast Neoplasm (GTN). Keywords: Hydatidiform mole, GTN, age, pre-evacuation β HCG level, parity, uterine size, blood type, hysthopathology feature


2020 ◽  
pp. 422-450
Author(s):  
Sandra Halperin ◽  
Oliver Heath

This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particular emphasis on hypothesis testing and significance tests. It discusses ordinary least squares (OLS) regression and cross-tabulation, two of the most widely used statistical analysis techniques in political research. Finally, it explains how to state the null hypothesis, calculate the chi square, and establishing the correlation between the dependent and independent variables.


2021 ◽  
Author(s):  
Zhang Li ◽  
Xuanyi Wang ◽  
Kairui Jin ◽  
Zhaozhi Yang ◽  
Junqi Wang ◽  
...  

Abstract Purpose This study was designed to assess the impact of post-mastectomy radiation therapy (PMRT) on reconstruction complications and failures in patients undergoing mastectomy and different types of breast reconstruction.Methods We retrospectively identified 832 breast cancer patients who underwent mastectomy and breast reconstruction at Fudan University Shanghai Cancer Center between June 2001 and December 2015. Of these, 159 patients received PMRT, and 673 patients did not receive PMRT. The endpoints of the reconstruction outcomes included any complications, major complications, overall reconstruction failures and complication-related reconstruction failures. Multivariate analysis was applied to identify independent predictors of reconstruction outcomes in patients with different types of breast reconstruction. The nomogram model was built on the basis of the multivariate analysis to predict complication-related reconstruction failures.Results The median follow-up time was 58.5 months. Of all 832 patients, 394 patients received implant-based reconstruction, and 438 patients received autologous reconstruction. For patients with implant-based reconstruction, multivariate analysis showed that PMRT was associated with 3.16 times (95% CI 1.17-8.54, p=0.023) higher odds of major complications and 3.22 times (95% CI 1.01-10.20, p=0.047) higher odds of complication-related reconstruction failures but was not associated with any complications (OR 1.73, 95% CI 0.88-3.38, p=0.113) or overall reconstruction failures (OR 2.09, 95% CI 0.76-5.73, p=0.152). The nomogram model for implant-based reconstruction showed good predictive performance for complication-related reconstruction failures (AUC =0.714).Conclusions PMRT appears to be associated with an increased risk of major complications and complication-related reconstruction failures in patients with implant-based reconstruction.


2021 ◽  
pp. 089686082110396
Author(s):  
Clémence Béchade ◽  
Antoine Lanot ◽  
Sonia Guillouët ◽  
Maxence Ficheux ◽  
Annabel Boyer ◽  
...  

Background: Diabetic patients often have physical impairment that could lead to manipulation errors in peritoneal dialysis (PD) and touch contamination. Nurse assistance in diabetic PD patients is known to help prevent peritonitis. We made the hypothesis that this lower risk of peritonitis was observed thanks to prevention of breach in aseptic procedure. We evaluated the impact of nurse-assisted PD on specific causes of peritonitis, especially on peritonitis due to a breach in aseptic procedure. Methods: This was a retrospective observational study of the data from the French Language Peritoneal Dialysis Registry. All diabetic patients older than age 18 years starting PD in France between 1 January 2012 and 31 December 2015 were included in the study. The event of interest was the first peritonitis event due to a breach in aseptic procedure. Death, kidney transplantation and peritonitis due to another mechanism were considered as competing events. We examined the association of the covariates with all the possible outcomes using a subdistribution hazard model developed for survival analysis in the presence of competing risks. Results: Four thousand one hundred one diabetic patients incident in PD were included in the study. At least one peritonitis event occurred in 1611 patients over the study period. A breach in aseptic procedure was reported in 441/1611 cases (27.3%): 209/575 (36.3%) in the self-care PD group, 56/217 (25.8%) in the family-assisted PD group and 176/819 (21.5%) in the nurse-assisted PD group. Both nurse and family assistance were associated with a lower risk of peritonitis due to breach in aseptic procedure in bivariate analysis. After adjustment on age, modified Charlson index, sex and diabetic nephropathy, patients treated by nurse-assisted PD (subdistribution hazard ratio (sd-HR) 0.52, 95% confidence interval (CI) 0.40–0.67) and those treated by family-assisted PD (sd-HR 0.70, 95% CI 0.51–0.95) had a lower likelihood of peritonitis due to a connection error compared to self-care PD in multivariate analysis. The modality of assistance was not associated with other causes of peritonitis in the multivariate analysis. Conclusion: While both nurse-assisted PD and family-assisted PD were associated with lower risk of peritonitis due to a breach in aseptic procedure compared to self-care PD in our study, the protective effect was greater with nurse assistance.


Author(s):  
Sandra Halperin ◽  
Oliver Heath

This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particular emphasis on hypothesis testing and significance tests. It discusses ordinary least squares (OLS) regression and cross-tabulation, two of the most widely used statistical analysis techniques in political research. Finally, it explains how to state the null hypothesis, calculate the chi square, and establishing the correlation between the dependent and independent variables.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3261-3261
Author(s):  
Benny Johnson ◽  
Smith Giri ◽  
Sara E. Nunnery ◽  
Eric Wiedower ◽  
Omer Jamy ◽  
...  

Abstract Background Secondary hemophagocytic syndrome (HPS), also known as hemophagocytic lymphohistiocytosis (HLH), is a rare syndrome that develops in the context of infection, autoimmune disease or an underlying malignancy. This results in the unregulated activation of the immune system and an aberrant proliferation of histiocytes and hemophagocytosis. Most of what is clinically known about secondary HPS/HLH is from case reports and case series. We studied the predictors of mortality among adults admitted with HPS with or without an associated malignancy using a large national inpatient database. Patients and Methods Cases of HPS were identified from the Nationwide Inpatient Sample (NIS) 2009-2011 using International Classification of Diseases-9th revision Clinical Modification (ICD-9-CM) codes 288.4 for primary or secondary diagnosis combined with bone marrow examination procedure code (41.31). Cases of malignancy were identified by using ICD-9-CM codes 104-208.9 and the use of inpatient chemotherapy was defined by ICD-9-CM procedure codes 9925 and 8607. Comorbidity assessment was done using Deyo modification of Charlson comorbidity index which takes into account 17 ICD based comorbidities. Malignancy was excluded from co-morbidity assessment. The impact of various patient/hospital related factors on mortality was first assessed using chi-square test or Analysis of Variance (ANOVA). Factors with p value 0.01 or less on bivariate analysis were then subjected to multivariate analysis using logistic regression methods. Statistical analysis was done using STATA 13.0 (StataCorp LP, College Station,TX). All p values were two sided and the level of significance was 0.05. Results A total of 276 patient hospitalizations with HPS were identified. Forty-four had an associated malignancy, out of which 38 (86%) were hematologic. The other cases were associated with systemic lupus erythematosus (n=12; 5%), rheumatoid arthritis (n=21; 9%), histoplasmosis (n=3;1.3%) or HIV (n=1; 0.4%). The median age was 42 (range 18-89 years) and 43% (n=114) were females. A total of 66% (n=182) had Charlson index (CI) of 0, whereas 13% (n=27) had a CI of 1 and 21% (n=57) had a CI of 2 or more. On bivariate analysis, the inpatient mortality rate was significantly higher in malignancy associated HPS (OR 2.07; P =0.04), age ≥ 50 (OR 3.46; P <0.01), CI > 2 (OR, 3.04; P <0.01), and patients with Medicare (OR 2.32; P <0.01). However, there was no statistically significant difference in mortality based on the receipt of chemotherapy (P= 0.90), hospital region i.e. rural versus urban (P=0.43) and teaching status (P= 0.71). In multivariate analysis, CI ≥ 2 remained an independent predictor of survival in the overall study cohort (OR 3.52; 95% CI 1.51-8.18; P <0.01). Conclusion In this large series of adults with HPS, patients with malignancy associated HPS, CI ≥ 2, age> 50, and Medicare patients were associated with a worse in-hospital mortality. In multivariate analysis, patients with a greater co-morbidity burden appeared to be the single most important predictor of mortality. This suggests that outcomes for HPS are predicated by the extent of organ dysfunction at diagnosis. Disclosures No relevant conflicts of interest to declare.


1996 ◽  
Vol 43 (3) ◽  
pp. 235-248 ◽  
Author(s):  
Mark Novak ◽  
Neena L. Chappell

This study compared the stress experienced by nursing assistants (NAs) under four work conditions: high or low proportion of cognitively impaired patients and day or other shift. Five standard measures of caregiver stress served as the dependent variables in this study: burden, reaction to patient behaviors, workload, and two measures of burnout. A 2 × 2 multivariate analysis of variance found an interaction effect of type and shift on the stress measures. Univariate tests found that Burden and Depersonalization accounted for this effect. A further multivariate analysis of simple main effects found significant differences for each independent variable within each level of the other independent variable. Univariate analyses found that NAs who care for cognitively impaired patients on the day shift show significantly higher scores on specific stress measures. The article concludes with a discussion of how institutions can respond to the stresses faced by NAs who care for cognitively impaired patients.


2017 ◽  
Vol 76 (3) ◽  
pp. 107-116 ◽  
Author(s):  
Klea Faniko ◽  
Till Burckhardt ◽  
Oriane Sarrasin ◽  
Fabio Lorenzi-Cioldi ◽  
Siri Øyslebø Sørensen ◽  
...  

Abstract. Two studies carried out among Albanian public-sector employees examined the impact of different types of affirmative action policies (AAPs) on (counter)stereotypical perceptions of women in decision-making positions. Study 1 (N = 178) revealed that participants – especially women – perceived women in decision-making positions as more masculine (i.e., agentic) than feminine (i.e., communal). Study 2 (N = 239) showed that different types of AA had different effects on the attribution of gender stereotypes to AAP beneficiaries: Women benefiting from a quota policy were perceived as being more communal than agentic, while those benefiting from weak preferential treatment were perceived as being more agentic than communal. Furthermore, we examined how the belief that AAPs threaten men’s access to decision-making positions influenced the attribution of these traits to AAP beneficiaries. The results showed that men who reported high levels of perceived threat, as compared to men who reported low levels of perceived threat, attributed more communal than agentic traits to the beneficiaries of quotas. These findings suggest that AAPs may have created a backlash against its beneficiaries by emphasizing gender-stereotypical or counterstereotypical traits. Thus, the framing of AAPs, for instance, as a matter of enhancing organizational performance, in the process of policy making and implementation, may be a crucial tool to countering potential backlash.


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