Biostatistics: Some Basic ConceptsCaduceus Medical Publishers, 1990 - 194 pages |
From inside the book
Page 7
... statistics to make data derived from samples meaningful to the entire population in question . The statistics used in medical ... another to determine the chances that they are from the same population or from different populations . For ...
... statistics to make data derived from samples meaningful to the entire population in question . The statistics used in medical ... another to determine the chances that they are from the same population or from different populations . For ...
Page 41
... Another thing you should consider is : How should you report your data and how should you expect others to report theirs ... use the SD . There are times , though , when a random sample is used to estimate population statistics . In this ...
... Another thing you should consider is : How should you report your data and how should you expect others to report theirs ... use the SD . There are times , though , when a random sample is used to estimate population statistics . In this ...
Page 69
... patients . Out of such observations and their statistical treatment come interpretations that can influence the selection of therapeutic regimens out of observed data we infer general principles . This second section of our book deals ...
... patients . Out of such observations and their statistical treatment come interpretations that can influence the selection of therapeutic regimens out of observed data we infer general principles . This second section of our book deals ...
Contents
INTRODUCTION TO INFERENTIAL STATISTICS | 69 |
ERRORS IN TESTING HYPOTHESES | 81 |
FREQUENCY PROBABILITY | 89 |
Copyright | |
9 other sections not shown
Common terms and phrases
a p value a z score analysis of variance Apgar scores beta error birth weight calculate central tendency chance chapter chi-square test concept confidence interval continuous data conventional therapy degrees of freedom dependent variable descriptive statistics determine dispersion Diuretic example frequency distribution geometric mean graph head circumference inferential statistics look matched controls matched or unmatched matched samples MATCHED UNMATCHED MEASURES OF CENTRAL median nominal data normal curve normal distribution null hypothesis number of observations one-way ANOVA ordinal data outcome pairs patients percentage percentile population mean predictive value Present Absent probability random sample range Rank Sum Test raw score RECAP regression analysis relative risk repeated measures represent respiratory disease risk factor sampling variation set of data sign test small sample specific square standard deviation statistically significant test statistic tests of significance Type II errors z score z statistic