Statistics by Prescription

Irena Roterman-Konieczna

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ISBN/ISSN:

978-83-233-2741-7

DOI:

Wydawnictwo:

Wydawnictwo Uniwersytetu Jagiellońskiego

Rok wydania:

2009

Liczba stron:

269

XML:ISBN/ISSN:

ONIX MARC21

Bibliografia:

Roterman-Konieczna, Irena. Statistics by Prescription. Red. . Kraków: Wydawnictwo Uniwersytetu Jagiellońskiego, 2009, 269 s. ISBN 978-83-233-2741-7

Bibliografia refWorks:

RT Book, Whole

SR Electronic(1)

A1 Roterman-Konieczna, I.

T1 Statistics by Prescription

PB Wydawnictwo Uniwersytetu Jagiellońskiego

PP Kraków

YR 2009

SN 978-83-233-2741-7

Bibliografia BibTex:

@Book{ 26620, author = "Roterman-Konieczna, Irena", editor = "", title = "Statistics by Prescription", publisher = "Wydawnictwo Uniwersytetu Jagiellońskiego", year = "2009", address = "Kraków", isbn = "978-83-233-2741-7" }

Bibliografia endNote:

TY - BOOK

AU - Roterman-Konieczna, Irena

ED -

TI - Statistics by Prescription

PB - Wydawnictwo Uniwersytetu Jagiellońskiego

CY - Kraków

PY - 2009

SN - 978-83-233-2741-7

ER -

Netografia (standard APA):

Roterman-Konieczna, Irena. Statistics by Prescription [baza danych online] Kraków: Wydawnictwo Uniwersytetu Jagiellońskiego, 2009 [dostęp: 24 08 2024]. Dostęp w Ibuk Libra: https://libra.ibuk.pl/reader/statistics-by-prescription-irena-roterman-konieczna-26620.

statistics, prescription, medicine, statistical methods

The manual presents the guide-like introduction to statistical techniques particulary oriented on medicine. The exercises present in the book make possible the self-education based on the international program SAS. I strongly support the distri...

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ISBN/ISSN:

978-83-233-2741-7

DOI:

Wydawnictwo:

Wydawnictwo Uniwersytetu Jagiellońskiego

Rok wydania:

2009

Liczba stron:

269

XML:ISBN/ISSN:

ONIX MARC21

INTRODUCTION8
STEP 1 - Descriptive statistics10
How to find an answer to the question10
Is it possible to avoid urolithiasis?10
What we can learn about the patients?10
STEP 1 - exercise - Preliminary data analysis29
STEP 2 - We analyse the distribution of the measurable variable34
Is the female patients' age distribution comparable to the male patients' age distribution?34
What type of distribution is presented by the clinical measurable variables?34
Why is finding the distribution type of the measurable feature essential?34
STEP 2 - exercise - Data analysis53
STEP 3 - The x2(chi-square) test of the goodness of fit65
Is the men's age distribution (in the group of people with the urinary tract nephrolithiasis) a normal distribution?65
Is the women's age distribution (in the group of people with the urinary tract nephrolithiasis) a normal distribution?65
STEP 3 - exercise - Checking the type of distribution77
STEP 4 - T-test and F-test97
Do the patients, in whom the urinary tract infection was found, differ with their bodily temperature from those, in whom the bacteria were not found?97
How to estimate the differences between groups of patients?97
Is the bodily temperature really different for the group with the haematuria found in relation to the group without haematuria?97
STEP 4 - exercise - F-test and T-test114
Do the patients with different stone localization differ with the body temperature?117
STEP 5 - ANOVA test122
How to compare more than two groups?122
Is the urine pH in patients with different chemical stone composition different?122
STEP 5 - exercise - ANOVA test129
STEP 6 - Correlation and regression145
Are any variables mutually dependent?145
Can we predict the probable stone composition on the basis of the known value of urine pH and its unit weight?145
Is there any relationship between the urine pH and the urine density?145
STEP 6 - exercise - Correlation and regression159
STEP 7 - The Pearson's (chi-square) test (The independence test)167
Does the accompanying illness influence the stone composition?167
Does the sort of diet composition influence the chemical compounds present in the stone?167
Is there any relation between qualitative variables?167
STEP 7 - exercise - c2 (chi-square) test of independence173
STEP 8 - Nonparametric tests (distribution-free tests)184
Does the age of female patients with nephrolithiasis urinary tract nephrolithiasis differ from the age of male patients with the same illness?184
Does the stone localization determine the patient's body temperature?184
Does the urine pH really specifically differ in groups created according to the stone localization?184
How about the data not representing the normal distribution?184
Is the urine pH in the patients with bacteriuria different in relation to the patients without the urinary tract infection?184
Is the patient's age really different for the groups with a different accompanying illness?185
STEP 8 - exercise - Nonparametric tests (distribution free tests)194
STEP 9 - Comprehensive analysis198
Do we know already the method to prevent nephrolithiasis?198
STEP 9 - exercise - Comprehensive analysis 217218
STEP 10 - Survival analysis230
Is it possible to make prognosis?230
When can we expect the crystalline deposit re-appearance after its removal?230
STEP 10 - exercise - Survival analysis235
Recapitulation241
Afterword243
Supplementary tables244
Vocabulary248
Index261

INTRODUCTION

Thisbookisbasedonaseriesoflecturesonstatisticalmethodsdeliveredatthe

FacultyofMedicineoftheJagiellonianUniversityMedicalCollege.Thegoalof

thiscourseistointroducebasicstatisticalconceptsandtoolsnecessarytoanalyse

medicaldata.Itisnotassumedthatamedicalstudent–thefuturedoctor–willgointo

rapturesoverstatisticalmethods,quithis/herbeautifulprofessionandbecome

astatistician.Itis,however,assumedthatinthefutureprofessionalcareertheyboth

willfindtheircommonlanguage.Thedoctorwillcommunicatewiththestatistician

andactivelyparticipateinanalysisofmedicaldatawhichgraduallyaccumulatein

his/herdatabase.Ifthereare10–20patients,thedoctorremembersallofthemand

theirrelatedevents.However,whenthenumberofpatientsreachesanumberofthou-

sandorevenmore,dataanalysiscanbeperformedonlywiththeuseofstatisticaltools.

Trendsinthedevelopmentofmedicinedemonstratetheincreasingroleofmonitor-

ingandcontinuousanalysisofmedicaldata.Theneedforpermanentanalysisisforced

byconstantchangesinlifeconditionswithinagivenregion(climatechanges,wealth,

fashion,lifestyle,travelling,etc.).Itbecomesnotonlynecessarybutalsoconvenientto

recordproblemsthepatientsdiscusswiththeirdoctors(familyphysician,hospitaldoc-

tor,emergencydoctor,etc.).Alargenumberofnewdrugsthatappearonthemarket

alsopromptindividualanalysisoftheireffects.

Thepresentationofbasicstatisticalnotionsandconceptsissupportedbyexam-

plesofstatisticaltestsperformedusingtheSASsoftwarepackage(version3).It

isassumedthatthereaderisfamiliarwithMicrosoftOfficeExcel.Thesestatis-

ticaltestsinSASarepresentedinaseparatesectionnottointerruptthecontinu-

ityofstatisticalreasoningwithtechnicaldetailsrelatedtoperformanceofatest.

ThebookcontainsalsoadatabaseofpatientsadmittedtotheCasualtyand

EmergencyWard(victimsoftrafficaccidents).Afterstudyingthecontentsofthis

sectionitisrecommendedtoperformaseriesofexercisesonanindividualbasis.Ref-

erencestothedatabaseareincludedinsetsofexercisesattheendofeachchapter.

Complementaryreading:

WayneW.Daniel:Biostatistics,JohnWiley&SonsNewYork,Chichester,

Weinheim,Brisbane,Singapore,Toronto,SeventhEdition,1999.

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Statistics by Prescription

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