ISBN: 9783656506508

A Framework for Descriptive, Bivariate, and Multivariate Analyses Although statistics is not always a popular subject, perhaps because it relies heavily upon mathematics, statistical skil… Plus…

A Framework for Descriptive, Bivariate, and Multivariate Analyses Although statistics is not always a popular subject, perhaps because it relies heavily upon mathematics, statistical skills are necessary to anyone intending to practice medicine or engage in health-related research or in medical care service delivery. Covering every step of some of the most commonly used data analysis techniques, this book offers a road map and strategies to adopt when medical students, doctors, or other health professionals face challenges in handling and analyzing clinical or survey data - from preliminary evaluations of the databases in question to how to effectively interpret the results. The book is divided into two sections, each is packed with distinct perspective on the database assessed, taking the reader through the process of developing answerable and relevant research questions and their corresponding hypotheses. Using SPSS, chapters 1-5 analyze data derived from a noise-testing scores database by presenting descriptive statistics and statistical hypothesis testing, including potential templates for presenting overviews of the study designs, guidance on how to choose appropriate tests, ways to understand their assumptions, guidelines on how to correctly check them, and which limitations are important to consider. In chapters 6-9, another set of statistical analyses are carried out utilizing data derived from the Ugandan database, which provides records of the perception of chances of getting AIDS among Ugandan women. The effects of region, place of residence, and condom-use on ages at first marriage and intercourse are investigated thoroughly. General conclusions and observations are recorded in the final chapter. Addressing most, if not all, aspects of ANOVAs, ANCOVAs, MANOVAs, MANCOVAs, Chi-square tests, and t-tests, this book is designed as a toolkit with much-needed directions to aid those who have to enter the world of medical statistics. Statistical Evaluation of Two Medical Databases: Although statistics is not always a popular subject, perhaps because it relies heavily upon mathematics, statistical skills are necessary to anyone intending to practice medicine or engage in health-related research or in medical care service delivery. Covering every step of some of the most commonly used data analysis techniques, this book offers a road map and strategies to adopt when medical students, doctors, or other health professionals face challenges in handling and analyzing clinical or survey data - from preliminary evaluations of the databases in question to how to effectively interpret the results. The book is divided into two sections, each is packed with distinct perspective on the database assessed, taking the reader through the process of developing answerable and relevant research questions and their corresponding hypotheses. Using SPSS, chapters 1-5 analyze data derived from a noise-testing scores database by presenting descriptive statistics and statistical hypothesis testing, including potential templates for presenting overviews of the study designs, guidance on how to choose appropriate tests, ways to understand their assumptions, guidelines on how to correctly check them, and which limitations are important to consider. In chapters 6-9, another set of statistical analyses are carried out utilizing data derived from the Ugandan database, which provides records of the perception of chances of getting AIDS among Ugandan women. The effects of region, place of residence, and condom-use on ages at first marriage and intercourse are investigated thoroughly. General conclusions and observations are recorded in the final chapter. Addressing most, if not all, aspects of ANOVAs, ANCOVAs, MANOVAs, MANCOVAs, Chi-square tests, and t-tests, this book is designed as a toolkit with much-needed directions to aid those who have to enter the world of medical statistics. ANCOVA ANOVA Chi-square MANCOVA MANOVA Medical research SPSS assumption checking biostatistics database hypotheses public health research questions t-test, GRIN Verlag<

ISBN: 9783656506508

A Framework for Descriptive, Bivariate, and Multivariate Analyses Although statistics is not always a popular subject, perhaps because it relies heavily upon mathematics, statistical skil… Plus…

A Framework for Descriptive, Bivariate, and Multivariate Analyses Although statistics is not always a popular subject, perhaps because it relies heavily upon mathematics, statistical skills are necessary to anyone intending to practice medicine or engage in health-related research or in medical care service delivery. Covering every step of some of the most commonly used data analysis techniques, this book offers a road map and strategies to adopt when medical students, doctors, or other health professionals face challenges in handling and analyzing clinical or survey data - from preliminary evaluations of the databases in question to how to effectively interpret the results. The book is divided into two sections, each is packed with distinct perspective on the database assessed, taking the reader through the process of developing answerable and relevant research questions and their corresponding hypotheses. Using SPSS, chapters 1-5 analyze data derived from a noise-testing scores database by presenting descriptive statistics and statistical hypothesis testing, including potential templates for presenting overviews of the study designs, guidance on how to choose appropriate tests, ways to understand their assumptions, guidelines on how to correctly check them, and which limitations are important to consider. In chapters 6-9, another set of statistical analyses are carried out utilizing data derived from the Ugandan database, which provides records of the perception of chances of getting AIDS among Ugandan women. The effects of region, place of residence, and condom-use on ages at first marriage and intercourse are investigated thoroughly. General conclusions and observations are recorded in the final chapter. Addressing most, if not all, aspects of ANOVAs, ANCOVAs, MANOVAs, MANCOVAs, Chi-square tests, and t-tests, this book is designed as a toolkit with much-needed directions to aid those who have to enter the world of medical statistics. Statistical Evaluation of Two Medical Databases: Although statistics is not always a popular subject, perhaps because it relies heavily upon mathematics, statistical skills are necessary to anyone intending to practice medicine or engage in health-related research or in medical care service delivery. Covering every step of some of the most commonly used data analysis techniques, this book offers a road map and strategies to adopt when medical students, doctors, or other health professionals face challenges in handling and analyzing clinical or survey data - from preliminary evaluations of the databases in question to how to effectively interpret the results. The book is divided into two sections, each is packed with distinct perspective on the database assessed, taking the reader through the process of developing answerable and relevant research questions and their corresponding hypotheses. Using SPSS, chapters 1-5 analyze data derived from a noise-testing scores database by presenting descriptive statistics and statistical hypothesis testing, including potential templates for presenting overviews of the study designs, guidance on how to choose appropriate tests, ways to understand their assumptions, guidelines on how to correctly check them, and which limitations are important to consider. In chapters 6-9, another set of statistical analyses are carried out utilizing data derived from the Ugandan database, which provides records of the perception of chances of getting AIDS among Ugandan women. The effects of region, place of residence, and condom-use on ages at first marriage and intercourse are investigated thoroughly. General conclusions and observations are recorded in the final chapter. Addressing most, if not all, aspects of ANOVAs, ANCOVAs, MANOVAs, MANCOVAs, Chi-square tests, and t-tests, this book is designed as a toolkit with much-needed directions to aid those who have to enter the world of medical statistics. MEDICAL / Alternative & Complementary Medicine, GRIN Verlag<

ISBN: 9783656506508

A Framework for Descriptive, Bivariate, and Multivariate Analyses. 1. Auflage, A Framework for Descriptive, Bivariate, and Multivariate Analyses. 1. Auflage, [KW: ALTERNATIVE HEILMETHODEN… Plus…

A Framework for Descriptive, Bivariate, and Multivariate Analyses. 1. Auflage, A Framework for Descriptive, Bivariate, and Multivariate Analyses. 1. Auflage, [KW: ALTERNATIVE HEILMETHODEN ,NATURWISSENSCHAFTEN MEDIZIN INFORMATIK TECHNIK , MEDIZIN , NICHTKLINISCHE FAECHER ,MEDICAL RESEARCH ANOVA ANCOVA MANOVA MANCOVA CHI SQUARE T TEST DATABASE ASSUMPTION CHECKING RESEARCH QUESTIONS HYPOTHESES SPSS BIOSTATISTICS] <-> <-> ALTERNATIVE HEILMETHODEN ,NATURWISSENSCHAFTEN MEDIZIN INFORMATIK TECHNIK , MEDIZIN , NICHTKLINISCHE FAECHER ,MEDICAL RESEARCH ANOVA ANCOVA MANOVA MANCOVA CHI SQUARE T TEST DATABASE ASSUMPTION CHECKING RESEARCH QUESTIONS HYPOTHESES SPSS BIOSTATISTICS<

2013, ISBN: 9783656506508

A Framework for Descriptive, Bivariate, and Multivariate Analyses, [ED: 1], 1., Auflage, eBook Download (PDF), eBooks, [PU: GRIN Verlag]