Critical Thinking in Clinical Research: Applied Theory and Practice Using Case StudiesFelipe Fregni, Ben M.W. Illigens One of the most crucial skills a clinician, scientist, or student can learn is to create, conduct, and interpret the conclusions of a clinical study. Critical Thinking in Clinical Research teaches these fundamentals in four distinct sections, called "units": the first unit focuses on issues surrounding the design of a study such as population, question selection, randomization, and blinding; Unit 2 presents statistical methods such as analyzing data collected, how to present and discuss the data concisely; the third unit covers practical aspects such as methodology, organizational considerations, principles of trial conduct and reporting; and the final unit delves into study designs, providing the advantages and drawbacks of each design style. Each chapter begins with a short introduction, followed by a hypothetical case that challenges the reader to make decisions, to consider pros and cons of specific approaches, and to evaluate options based on specific conditions. Knowing how to critically read and understand scientific papers and to collect, analyze, and interpret research data, which they in turn can then present in their own scientific manuscript makes this book the perfect resource for anyone looking to contribute to the wealth of scientific and medical inquiry. |
Other editions - View all
Common terms and phrases
adverse events allocation analyzed ANOVA assess associated authors authorship baseline bias blinding case-control studies chapter choose Clin clinical research clinical trials cohort studies compared conduct confounding considered controlled trials covariates criteria defined developed discussion disease drug drug-eluting stent effect efficacy enrollment estimate ethical evaluation example exposure Felipe Fregni generalizability Health important increase independent variable instance interim analysis internal internal validity intervention investigator issue journal manuscript mean measure meta-analysis method missing data non-inferiority trials normally distributed null hypothesis observational studies option outcome p-value parameters participants patients perform phase placebo possible potential Prof propensity score publication bias randomization randomized controlled trials recruitment reporting research question safety sample size sample size calculation selection selection bias significant standard deviation statistical test strategies study design study population subgroup subjects survey survival analysis target population treatment type I error unblinding usually validity values versus