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Successful Scientific Writing

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Successful Scientific Writing

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    3. All NICU nurses in an upper Midwestern state were invited to participate in this study (N=167). Participants in this study were randomly chosen from health care units located in the upper Midwest of the United States.

    4. All NICU nurses in an upper Midwestern state were invited to participate in this study (N=167). Participants in this study were randomly chosen from health care units located in the upper Midwest of the United States.

    5. All NICU nurses in an upper Midwestern state were invited to participate in this study (N=167). Participants in this study were randomly chosen from health care units located in the upper Midwest of the United States.

    13. Value of flow diagrams in reports of randomized controlled trials JAMA 2001;285: 1996–1999

    16. The METHODS Purpose: to describe how you collected, organized and analyzed the data Describe what you did, not what you found (Results) Respect chronology Describe original methods in detail; otherwise give references. (length varies depending on originality of methods used)

    17. The METHODS Purpose: to describe how you collected, organized and analyzed the data (that are relevant to the purpose of the study) Clearly present and define all analysis variables. Organize into logical subsections that illustrate the steps you took to collect, organize and analyze the data. Describe what you did, not what you found (Results) Respect chronology Describe original methods in detail; otherwise give references. (length varies depending on originality of methods used)

    20. If we read references 16-20, what can we expect to learn about the analysis variables? how to measure/interpret “agreement”? how to measure/interpret “reliability”? whether reliability and agreement mean the same thing? how Pearson and Spearman correlation coefficients are used to measure “agreement”?

    21. The METHODS Purpose: to describe how you collected, organized and analyzed the data (that are relevant to the purpose of the study) Clearly present and define all analysis variables. Organize into logical subsections that illustrate the steps you took to collect, organize and analyze the data.

    22. Examples of Subsection Headings Study population How many subjects were eligible (eligibilty criteria) How many declined to participate (and why) How many participated How many dropped out Sampling methods Laboratory methods Epidemiologic investigation Baseline data collection Diagnostic Evaluation Intervention Follow-up Definition of variables Exposure variables Outcome variables Case definition Statistical analysis

    23. Risk Factors for Invasive Pneumococcal Disease among Navajo Adults METHODS Setting and Case Ascertainment Participants Data Collection Definitions of Study Variables Statistical Analysis Ethical Considerations

    24. Soft Drink Consumption and Risk of Developing Cardiometabolic Risk Factors and the Metabolic Syndrome in Middle-Aged Adults in the Community METHODS Study Sample Measurement of Covariates Assessment of Soft Drink Consumption and Dietary Intake of Other Foods Definition and Components of the Metabolic Syndrome Statistical Analyses Soft Drink Consumption and Prevalence of the Metabolic Syndrome Soft Drink Consumption and Incidence of the Metabolic Syndrome Incidence of Individual Components of Components of the Metabolic Syndrome

    25. METHODS Participants Intervention Process and Outcome Measures Statistical Analysis

    26. METHODS Participants Intervention Process and Outcome Measures Diet and Physical Activity Data Anthropometric Data Metabolic Measures Statistical Analysis

    28. The METHODS Purpose: to describe how you collected, organized and analyzed the data Clearly present and define all analysis variables. Organize into logical subsections that illustrate the steps you took to collect, organize and analyze the data. Describe what you did, not what you found (Results) Respect chronology Describe original methods in detail; otherwise give references. (length varies depending on originality of methods used)

    29. Health Perceptions and Survival: Do Global Evaluations of Health Status Really Predict Mortality? Methods (excerpt) . . . . A total of 624 deaths occurred in the four years, 334 among the 1,166 men (28.6%) and 290 among the 1,646 women (17.6%). Because these mortality rates were quite different, all analyses were performed separately by sex. Because sex-specific death rates were unequal (male = 28.6%, female = 17.6%), all analyses were performed separately by sex. Idler EL, Kasl S. J Gerontol 991;46(2):S55-65

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