17. A Guide to Multivariate Analysis

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.

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. 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.


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.


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


Author(s):  
John Luke Gallup

An added-variable plot is an effective way to show the correlation between an independent variable and a dependent variable conditional on other independent variables. For multivariate estimation, a simple scatterplot showing x versus y is not adequate to show the partial correlation of x with y, because it ignores the impact of the other covariates. Added-variable plots are especially effective for showing the correlation of a dummy x variable with y because the dummy variable conditional on other covariates becomes a continuous variable, making the relationship easier to visualize. Added-variable plots are also useful for spotting influential outliers in the data that affect the estimated regression parameters. Stata provides added-variable plots after ordinary least-squares regressions with the avplot command. I present a new command, avciplot, that adds a confidence interval and other options to the avplot command.


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.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 497-498
Author(s):  
Brayan Seixas ◽  
James Macinko

Abstract This study assesses the relationship between indicators of early childhood disadvantage and later-life multimorbidity within a nationally representative sample of Brazilians aged 50 and over (n = 9,412). Data come from the baseline assessment (2015/2016) of the Brazilian Longitudinal Study of Aging (ELSI). We employed survey-weighted Ordinary Least Squares regression to estimate the effects of individual and combined measures of childhood disadvantage on the total number of chronic conditions in later life. Mediation analysis assessed whether adult socioeconomic status (SES) mediated the relationship between childhood disadvantage and chronic conditions. We found that individual and combined measures of childhood disadvantage were associated with the total number of chronic conditions, even after controlling for potential confounders. Mediation analysis suggested that part of the effect of childhood adversity is mediated by higher SES in adulthood (~10%). A formal strategy of sensitivity analysis showed that omitted variable bias is extremely unlikely. To rule out the observed effect, an unobserved hypothetical confounder would need the explanatory power of the residual variance of both the independent and the dependent variables that is at least 30 times larger than that of BMI or 5 times larger than the explanatory power of age. Results should inform efforts to strengthen interventions targeting early childhood development and to improve other key inputs (such as education) to enhance adult SES and lessen the impact of early life stressors on health in older adulthood.


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.


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