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008 180827s2018 si a ob 000 0 eng d
040 _aGW5XE
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020 _a9789811308277
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020 _a9811308276
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020 _z9789811308260
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020 _a9811308284
024 7 _a10.1007/978-981-13-0827-7
_2doi
035 _a1879411
_b(N$T)
035 _a(OCoLC)1049988989
_z(OCoLC)1050364061
_z(OCoLC)1050649305
_z(OCoLC)1054793472
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037 _acom.springer.onix.9789811308277
_bSpringer Nature
050 4 _aRA409
072 7 _aTEC
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072 7 _aTEC
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072 7 _aMBNS
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082 0 4 _a620.2/1
_223
049 _aMAIN
100 1 _aRayat, Charan Singh,
_eauthor.
245 1 0 _aStatistical methods in medical research /
_cCharan Singh Rayat.
264 1 _aSingapore :
_bSpringer,
_c2018.
300 _a1 online resource (xv, 158 pages) :
_billustrations (some color)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
504 _aIncludes bibliographical references.
588 0 _aOnline resource; title from PDF title page (SpringerLink, viewed August 27, 2018).
505 0 _6880-01
_aIntro; Foreword; Preface; Contents; About the Author; 1: Introduction to Statistics; 1.1 Definitions of Statistics; 1.2 Origin and Development of Statistics; 1.3 Concept of Probability; 1.4 Definition of Probability; 1.5 Types of Events; 1.6 Different Theories of Probability; 1.6.1 Classical or Priori Probability; 1.6.2 Relative Theory of Probability; 1.6.3 Subjective Approach; 1.6.4 Axiomatic Theory of Probability; 1.7 Uses of Probability; 1.8 Theorems of Probability; 2: Collecting Statistical Data; 2.1 Methods of Collection of Data; 2.1.1 Procedure for Collection of Data.
505 8 _a2.1.2 Planning the Study2.1.3 Devising the Questions and Making the Schedule; 2.1.4 Population and Samples; 2.1.5 Using Schedules to Obtain the Information; 2.1.6 Editing the Schedules; 2.1.7 Organizing the Data; 2.1.8 Presentation and Analysis; 3: Tabulated Presentation of Data; 3.1 Examples Depicting Tabulated Presentation of Data; 4: Diagrammatic Presentation of Data; 4.1 Usefulness; 4.2 Limitations; 4.3 Characteristics of Diagrams and Rules for Drawing These; 4.4 Different Types of Diagrams; 5: Graphic Presentation of Data; 5.1 Construction of Graph; 5.2 Choice of Scale.
505 8 _a5.3 Plotting of Data5.4 Graphs of Time Series or Historigrams; 5.5 Comparison of Time Series; 5.6 Semilogarithmic Scale; 5.7 Interpretations of Semilog Curves; 5.8 Properties of a Logarithmic Scale; 5.9 Normal Frequency Curve: Properties of Normal Frequency Curve Are Given Below; 5.10 Moderately Asymmetrical Curve; 5.11 Extremely Asymmetrical Curve; 6: Measures of Central Tendency; 6.1 Properties of Average; 6.2 Characteristics of ``Representative Average��; 6.3 Types of Averages; 6.4 Arithmetic Mean (); 6.5 Arithmetic Mean () of Ungrouped Data; 6.6 Arithmetic Mean () of Grouped Data.
505 8 _a6.7 Shortcut Method for Calculating ``Mean�� ()6.8 Merits and Drawbacks of Mean (): As Listed in Table 6.4; 6.9 Geometric Mean (�a); 6.10 Usefulness of Geometric Mean (�a); 6.11 Merits and Drawbacks of Geometric Mean (): As Listed in Table 6.7; 6.12 Weighted Mean; 6.13 Crude Death Rate (CDR); 6.14 Standardized Death Rate (SDR); 6.15 Median (); 6.16 Usefulness of Median (); 6.17 The Computation of Median () of Unclassified Data; 6.18 The Computation of Median () of Classified Data; 6.19 Merits and Drawbacks of Median (); 6.20 Mode (); 6.21 Calculating Mode () in Ungrouped Data.
505 8 _a6.22 Calculating Mode () in Grouped Data6.23 Properties of Mode (); 6.24 Comparison of Mean (); 6.25 When to Use Mean ()?; 6.25.1 Use of Mean (); 6.25.2 Use of Median (); 6.25.3 Use of Mode (); 6.26 Quartiles, Deciles, and Percentiles; 7: Measures of Dispersion; 7.1 Definition; 7.2 Various Measures of Dispersion; 7.2.1 Range; 7.2.2 Quartile Deviation; 7.2.3 Mean Deviation; 7.2.4 Standard Deviation; 7.3 Symbols Representing the Standard Deviation; 7.4 Symbols Used in Statistical Analysis; 7.5 Formulae for Calculating Standard Deviation from Ungrouped Data.
520 _aThis book covers all aspects of statistical methods in detail with applications. It presents solutions to the needs of post-graduate medical students, doctors and basic medical scientists for statistical evaluation of data. In present era, dependency on softwares for statistical analysis is eroding the basic understanding of the statistical methods and their applications. As a result, there are very few basic medical scientists capable of analyzing their research data due to lack of knowledge and ability. This book has been written in systematic way supported by figures and tables for basic understanding of various terms, definitions, formulae and applications of statistical methods with solved examples and graphic presentation of data to create interest in this mathematical science.
590 _aMaster record variable field(s) change: 650
650 0 _aMedical statistics.
650 7 _aTECHNOLOGY & ENGINEERING
_xEngineering (General)
_2bisacsh
650 7 _aTECHNOLOGY & ENGINEERING
_xReference.
_2bisacsh
650 7 _aLife sciences: general issues.
_2bicssc
650 7 _aClinical & internal medicine.
_2bicssc
650 7 _aProbability & statistics.
_2bicssc
650 1 4 _aStatistics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aBiostatistics.
650 2 4 _aInternal Medicine.
650 7 _aMedical statistics.
_2fast
_0(OCoLC)fst01014672
655 4 _aElectronic books.
776 0 8 _iPrint version:
_aRayat, Charan Singh.
_tStatistical methods in medical research.
_dSingapore : Springer, 2018
_z9811308268
_z9789811308260
_w(OCoLC)1033531855
856 4 0 _3EBSCOhost
_uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1879411
880 0 _6505-01/(S
_aIntroduction to statistics.- Collecting statistical data.- Tabulated presentation of data.- Diagrammatic presentation of data.- Graphic presentation of data.- Measures of central tendency.- Measures of dispersion.- Correlation.- Chi-square test ((S{(B2 -- test).- Normal curve and sampling distribution.- Tests of significance.- Analysis of variance.- Practice exercises.
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938 _aYBP Library Services
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