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health information and basic medical statistics

PSM mcqs questions

Questions starts with :-

An investigator observes that five independent risk factors infl...

Subject :-

PSM

Correct answer :- *** Hidden ***

Explanation :-

tiple predictor variables (e.g. risk factors and treatments) on categorical outcomes and the outcome is normally binary, such as the presence or absence of disease. Logistic mo

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2013-07-11 19:30:16
investigator observes that five independent risk factors influence occurance disease following statistical tests should applied assess relationship between these risk factors and occurance disease ANOVAMultiple Linear RegressionMultiple Logistic Regression One way analysis Variance multiple logistic regression modelused studyeffects multiple predictor variables (eg risk factors and treatments) categorical outcomes andoutcomenormally binary such presence absencedisease Logistic models regularly applied studyingrelationships between risk factors andoccurrence diseaseepidemiological studies Ref: TopicsBiostatistics Walter Ambrosius 2007 Humana Press Inc Page 273 274; Medical Statistics Glance Aviva Petrie Caroline Sabin Third Edition Page 84; Medical Statistics from A-Z:Guide for Clinicians and Medical Students Brian Everitt Second Edition Page
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Subject :-PSM

Topic :- health information and basic medical statistics


All following holds true about cluster sampling except: Rapid and simple methodSamples similar those Simple Random Sampling type probability sampleThe sample size may vary according study design Cluster sampling entirely different from Random sampling following differences between random sampling and cluster sampling Ref: Park’s Texbook Preventive and Social Medicine 19th Edition; Pages 702; High Yield Biostatistics Anthony Glaser 2nd Edition Pages -3; Methods Biostatistics Mahajan6th Edition Pages 100; Sampling Populations: Methods and Applications Paul Levy Stanley Lemeshow 4th Edition; Pages 269 272; 223 229 .......


Subject :-PSM

Topic :- health information and basic medical statistics


Pearson's Coefficient skewness defined as: (Mean-Mode) (Median-Mode) SDSD (Mean Mode)SD (Median -Mode) The coefficient used for checking skewness data called the Karl Pearson coefficient and calculated (Mean Mode) Ref: Instant Medical Biostatistics Ranjan Das Papri Das 2009 Ane’s Instant Medical Series Page .......


region divided into villages for the purpose survey. villages are

Subject :-PSM

Topic :- health information and basic medical statistics


region divided into villages for purpose survey villages then selected randomly for purpose study This type sampling termed as: Simple Random samplingStratified samplingCluster Sampling Systematic Sampling Cluster samples may chosen individuals fall naturally into groups clusters above scenario sample clusters chosen random and then random sample units chosen from within this selection clusters villages naturally formed groups clusters region Ref: Encyclopaedic Companion Medical Statistics Editors Brian Everitt and Christopher Palmer Second Edition; Oxford Handbook Medical Statistics Janet Peacock Philip Peacock Oxford University Press 2011 Page .......


village divided into five relevant subgroups for the purpose survey. Indiv

Subject :-PSM

Topic :- health information and basic medical statistics


village divided into five relevant subgroups for purpose survey Individuals from each subgroup then selected randomly This type sampling termed as: Simple Random samplingStratified sampling Cluster SamplingSystematic Sampling Stratified samples used fixed numbers needed from particular sections strata population order achieve balance across certain important factors scenario seen this question shows study random sample equal number individuals drawn from each five relevant subgroups village provide set estimates with equal precision for each subgroup Ref: Preventive and Social Medicine Park 19th edition Page 702; Oxford Handbook Medical Statistics Janet Peacock Philip Peacock Oxford University Press 2011 Page .......


The population community the 1st June was recorded 1,65,000. Total no.

Subject :-PSM

Topic :- health information and basic medical statistics


The population community 1st June was recorded 000 Total new cases Tuberculosis recorded from 1st January 31st June were Total Registered cases tuberculosis the community were recorded 220 incidence this community per lakh population 133 22013 322 above clinical scenario given population 000 total number 220 cases and number new cases incidence tuberculosis from first January 31st June for every lakhs population 133 above question calculated Total population risk 165000 Number cases infected (new cases) 220 Incidence calculated for per 100000 population Incidence (220 100000)/165000 133 133 per 100000 population Ref: Park’s Textbook Preventive and Social Medicine 19th Edition Page .......


new test for diabetes was carried out the people who were tested positive

Subject :-PSM

Topic :- health information and basic medical statistics


new test for diabetes was carried out people who were tested positive (+ve) was found that actually had diabetes and out 9920 people who were tested negative (-ve) only 9840 did not have disease actually sensitivity this new test is: 33% 50%65%99% The sensitivity this new test for diabetes 33% question has increased number true negatives (9840 people) and increased number false positives (40 people) has more value rule out diabetes but with less sensitivity test has less diagnostic value 33% sensitive means per cent diseased people screened the test will give “true positive” result and remaining per cent will give “false negative” result above question: Total people who took test 1000 true positives false positives true negatives 9840 false negatives Sensitivity 33% Specificity Predictive value positive test 50% Predictive value negative test 99% Ref: Park’s Textbook Preventive and Social Medicine 19th Edition Pages 118-119 .......


standard 'z-score' related to: Binomial distributionNormal distribution Chi-sq

Subject :-PSM

Topic :- health information and basic medical statistics


standard 'z-score' related to: Binomial distributionNormal distribution Chi-squ testt-test score statistic used represent how many standard deviation intervals value falls above below mean also known standard normal scores score most commonly used the context population and same principles used for identification location within sample scores can more and less than mean and thus considered positive and negative scores calculated as: M)/SD One score example (Sample) sign score depends whether sample value above below mean Sample mean Standard Deviation sample Ref: Statistics for Behavioral Sciences Frederick Gravetter Larry Wallnau Page 153-154; Encyclopaedia Mathematics Bänden Michiel Hazewinkel Volume Pages 397; Statistics for Evidence-Based Practice and Evaluation Allen Rubin Pages 86-90 .......


Which the following statements about confidence limits/ interval true: Smalle

Subject :-PSM

Topic :- health information and basic medical statistics


following statements about confidence limits/ interval true: Smaller confidence level larger will confidence intervalLess variable data wider will confidence intervalSample size does not affect confidence interval95% confidence interval will cover standard errors around mean The confidence interval derived from standard error mean used measure dispersion distribution confidence interval often called percentage confidence 95% critical value confidence limit/interval covers +/- (approx around mean Ref: Choosing and Using Statistics Biologist's Guide Calvin Dytham Pages 56-57; Introductory Econometrics Modern Approach Jeffrey Wooldridge Pages 138-140; Schaum's Outline Theory and Problems Probability and Statistics Murray Spiegel John Schiller Alu Srinivasan Pages 205-208 .......


Standard deviation measure of: ChanceCentral tendencyDeviation from mean value

Subject :-PSM

Topic :- health information and basic medical statistics


Standard deviation measure of: ChanceCentral tendencyDeviation from mean value None The standard deviation positive squ root variance and used measure deviation from mean value gives extent spread dispersion Thus simpler terms dispersion values about mean directly proportional standard deviation Ref: Fundamental Statistics for Behavioral Sciences David Howell Pages 88-90; Park’s Textbook Social and Preventive Medicine 19th Edition Page 701 .......


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