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direction Descriptions

latest course names and descriptions are available below; please note they are area to trade. that you would be able to also seek latest and previous route choices on UAB's category agenda record web site. select "BST" within the branch drop-right down to discover Biostatistics lessons.

A complete checklist of all Biostatistics courses is blanketed within the UAB Graduate Catalog; however, that list does not mirror what's being provided this year.

*indicates required route for utilized Qualifying/comprehensive exam**indicates required path for the idea Qualifying/comprehensive examination

BST 603: Introductory Biostatistics for Graduate Biomedical Sciences

This path will deliver non-biostatistics students in the hunt for a Graduate Biomedical Sciences (GBS) degree with the skill to keep in mind introductory biostatistics ideas. three hours. As obligatory.

BST 611: Intermediate Statistical analysis I

students will gain a thorough knowing of simple evaluation methods, basic ideas, statistical fashions and functions of probability, usual sampling distributions, parametric and non-parametric one and two pattern exams, confidence intervals, purposes of evaluation of two-way contingency desk data, basic linear regression, and easy evaluation of variance. college students are taught to habits the primary analysis the usage of present utility such because the Statistical analysis system (SAS). 3 hours. Fall/Spring.

BST 612: Intermediate Statistical evaluation II

This course will introduce students to the primary precept of equipment of simple and distinct regression. a huge goal is to set up a firm basis within the discipline upon which the applications of statistical and epidemiologic inference may be built. Prerequisite: BST 611 or Permission of instructor. three hours. Spring/summer.

BST 613: Intermediate Statistical evaluation III

Continuation of ideas in BST 611/612, meant to introduce college students to extra normal ideas in biostatistics beyond an introductory degree. The path will consist of a huge overview of three areas:

  • categorical, ordinal, and count methods with proportional odds mannequin and Poisson regression;
  • survival evaluation and experience influence records with Kaplan-Meier, proportional dangers, and repeated events;
  • repeated measures, mixed fashions, hierarchical modeling for longitudinal and missing records.
  • examine design, evaluation interpretation of outcomes, energy and pattern measurement estimation, and non-parametric alternatives might be presented for all subject areas. Prerequisite: BST 601 or 611 and 612. three hours. Fall.

    BST 620: applied Matrix analysis

    Vector and matrix definitions and simple ideas; matrix factorization and software. Eigenvalues and eigenvectors, services of matrices, singular and sick-conditioned complications. prerequisites: BST 622. three hours. As obligatory.

    BST 621: Statistical strategies I*

    Mathematically rigorous insurance of functions of statistical strategies designed for Biostatistics majors and others with sufficient mathematical history. Statistical fashions and functions of likelihood; widely used sampling distributions; parametric and nonparametric one and two-sample tests and confidence intervals; analysis of contingency tables; elementary linear regression and analysis of variance. prerequisites: A year of calculus and linear algebra. three hours. Fall.

    BST 622: Statistical methods II*

    Continuation of ideas in BST 621, extended to diverse linear regression; evaluation of variance, evaluation of covariance, varied analysis of variance; use of contrasts and assorted comparisons procedures; basic and multiple logistic regression, and an introduction to survival evaluation. prerequisites: BST 621 with a grade of B or bigger. three hours. Spring.

    BST 623: widespread Linear models*

    standard and assorted regression the use of matrix approach; weighted and nonlinear regression; variable choice strategies; modeling options; regression diagnostics and mannequin validation; systems of linear equations; factorial designs; blocking; an introduction to repeated measures designs; coding schemes. Prerequisite: BST 622 with a grade of B or bigger. 3 hours. Fall.

    BST 624: Experimental Designs

    Intermediate experimental design and analysis of variance models using matrix approach. Factorial and nested (hierarchical) designs; blocking; repeated measures designs; Latin squares; incomplete block designs; fractional factorials; confounding. necessities: BST 621 and 622 or BST 611 and 612. three hours. As essential.

    BST 625: Design and behavior of clinical Trials

    ideas of scientific trials; purpose, design, implementation, and contrast. Examples and controversies introduced. Prerequisite: BST 611 and 612 or permission of the teacher. move/No pass. 3 hours. summer.

    BST 626: facts management/Reporting with SAS*

    A fingers-on publicity to data management and file generation with one of the crucial usual statistical application applications. 3 hours. Fall.

    BST 630: likelihood and Inference

    This path is limited to MSPH and DrPH college students. This direction is an introduction to chance ideas and statistical inference. syllabus include counting techniques, discrete and continuous univariate and multivariate random variables & normal distributions, probability, expectation, variance, self belief intervals, the significant restrict Theorem, and hypothesis checking out. Prerequisite: Calculus II. 3 hours. Spring (may be offered in alternate years depending upon direction demand).

    BST 631: Statistical thought I**

    Fundamentals of likelihood; conditional likelihood and independence; distribution, density, and mass functions; random variables; moments and second producing functions; discrete and continuous distributions; exponential households, joint, marginal, and conditional distributions; transformation and alter of variables; convergence ideas; sampling distributions; order records; random quantity generation. Prerequisite: advanced calculus. 4 hours. Fall.

    BST 632: Statistical thought II**

    point interval estimation; sufficiency and completeness; ancillary facts; maximum chance and second estimators; optimum-unbiased estimator; hypothesis and importance checking out; probability ratio checks and uniformly strongest checks; self assurance interval estimation; asymptotic houses of estimators and checks; introduction to Bayesian inference. Prerequisite: BST 631 with a grade of B or higher. four hours. Spring.

    BST 640: Nonparametric methods

    properties of statistical assessments; order statistics and theory of extremes; median exams; goodness of healthy; checks in line with ranks; vicinity and scale parameter estimation; self belief intervals; affiliation analysis; energy and effectivity. Prerequisite: BST 622, BST 632. 3 hours. As necessary.

    BST 655: categorical records evaluation*

    Intermediate degree direction with emphasis on understanding the discrete chance distributions and the relevant software of easy methods to analyze records generated by way of discrete probability distributions. The direction covers contingency tables, Mantel-Haenszel verify, measures of association and of settlement, logistic regression models, regression diagnostics, proportional odds, ordinal and polytomous logistic regression, Poisson regression, log-linear fashions, evaluation of matched pairs, and repeated specific statistics. Prerequisite: BST 622 or equivalent recommended. three hours. Fall.

    BST 660: applied Multivariate analysis

    evaluation and interpretation of multivariate typical linear fashions together with multivariate regression, multivariate evaluation of variance/covariance, discriminant evaluation, multivariate analysis of repeated measures, canonical correlation, and longitudinal facts evaluation for common and generalized linear fashions. huge use of SAS, SPSS, and other statistical application. Prerequisite: BST 623. three hours. As mandatory.

    BST 661: Structural Equation Modeling

    primary concepts of measurements; ingredient analysis and latent variable fashions; multivariate predictive fashions including mediation mechanisms and moderator consequences; course analysis; integrative multivariate covariance models, strategies of longitudinal evaluation. Prerequisite: BST 623. three hours. As needed.

    BST 665: Survival analysis

    Kaplan-Meier estimation; Parametric survival fashions; Cox proportional risks regression models; trial dimension calculation for survival fashions; competing risks models; dissimilar hobbies models. Prerequisite: BST 622. three hours. (Spring)

    BST 670: Sampling strategies

    essential random, stratified, cluster, ratio regression and systematic sampling; sampling with equal or unequal chances of preference; optimization; residences of estimators; non-sampling errors; sampling schemes used in inhabitants research; methods of implementation and analyses linked to numerous schemes. Prerequisite: BST 631. three hours. As obligatory.

    BST 671: Meta analysis

    Statistical methods and inference via metallic evaluation. prerequisites: BST 622 and 623. three hours. As mandatory.

    BST 675: Introduction to Statistical Genetics

    This classification will introduce students to inhabitants genetics, genetic epidemiology, microarray and proteomics evaluation, Mendelian legal guidelines, inheritance, heritability, verify cross-linkage evaluation, QTL analysis, human linkage and human affiliation methods for discrete and quantitative traits. Prerequisite: BST 611 or BST 621. three hours. Spring (strange years).

    BST 676: Genomic information evaluation

    The goal of this type can be to train graduate students data strategies that underlie the evaluation of records generated via high throughput genomic technologies, in addition to considerations within the experimental design and implementation of these technologies. excessive throughput applied sciences that could be covered encompass microarrays, proteomics, and second-era sequencing. must haves: BST 611 or 621. BST 675 counseled. three hours. Spring (even years).

    BST 680: Statistical Computing with R

    This direction is notably concentrated on R and how to use R to behavior basic statistical computing. The route contains three themes: R programming, introduction to high performance computing, and basics of statistical computing. must haves: BST 621, BST 622, and BST 626 (Introductory chance and Inference) or equivalent. 3 hours. (summer time)

    BST 685: practicing in Biostatistics teaching

    purchase knowledge for instructing in higher education, including syllabus design, communique potential for the lecture room and workplace hours, creating assignments and rubrics, Preparing and giving lectures, making ready nondidactic content, and advantageous grading. necessities: should have completed the direction that you might be the TA, or equivalent direction, in a prior semester with a grade of B or better. accomplished the Biostatistics Qualifying test on the applicable level, have an standard GPA of three.0 or larger (be a student in good standing with the UAB Graduate faculty). get hold of an invite from the applicable faculty member to register for this path. three hours.

    BST 690: Biostatistical Consulting and utilized issues

    students will work for my part to address, analyze and existing the effects of an utilized difficulty or furnish design each week. The presentation of strategies, options and designs will be performed in a round desk format. students will be evaluated on the satisfactory of answer and by their presentation and sophistication participation. must haves: BST 621 and BST 622. three hours.

    BST 691: Biostatistics Pre-doctoral Seminar series

    This direction gives an opportunity for college kids to study ongoing research within the field of biostatistics, scientific trials, and statistical genetics. Reserved for BST students. pass/No move. 1 hour. Fall/Spring/summer.

    BST 695: particular subject matters

    This route is designed to cover special themes in Biostatistics that are not lined in standard 600 level courses, however acceptable for Masters college students in Biostatistics and doctoral college students in other connected disciplines. 1-three hours.

    BST 697: Internship

    field journey beneath joint course of applicable public health faculty member and qualified experts working in selected aspects of public health.prerequisites:BST 601 or BST 611 and BST 612, ENH 600, EPI 600, HB 600, and HCO 600. circulate/No move. three hours.

    BST 698: Non-Thesis research

    impartial non-thesis analysis with counsel of applicable school. move/No move. 1-12 hours.

    BST 723: concept of Linear models

    Multivariate typical distributions and quadratic varieties; least square estimation; nested models; weighted least squares, trying out contrasts; multiple comparisons; polynomial regression; maximum probability conception of log-linear fashions. Prerequisite: BST 632. three hours. Fall (unusual years).

    BST 724: Experimental Designs

    Intermediate experimental design and analysis of variance fashions the usage of matrix method. Factorial and nested (hierarchical) designs; blockading; repeated measures designs; Latin squares; incomplete block designs; fractional factorials; confounding. prerequisites: BST 621, 622 (or BST 611/612), 623, 631 and 632. three hours. As crucial.

    BST 725: superior scientific Trials I

    This course will deliver college students with a simple realizing of the fundamental statistical ideas concerned within the design and behavior of clinical trials. important issues of dialogue will encompass records administration, quality assurance, endpoints, vigour evaluation, period in-between evaluation, adaptive designs, and genetic issues in clinical trials. prerequisites: BST 611, 612 or 621, 622 and 625. three hours. Spring (peculiar years).

    BST 726: advanced medical Trials II

    This course builds on the advantage gained in BST 725 to be able to Strengthen a greater thorough knowing of the basic methodology in the back of vigour evaluation, interim facts monitoring, and evaluation of missing data. The type will involve discussions of accurate publications coping with current themes of hobby in medical trials. The course is obtainable in four stand-on my own models: vigour and pattern dimension Estimation, period in-between data analysis, superior Trial Design, or advanced effect analysis. necessities: BST 621, 622, 625, 630 or (631 and 632) and 725. 1-3 hours. provided at discretion of faculty.

    BST 735: superior Inference

    Stochastic convergence and simple inequalities; vulnerable convergence and the vital restrict theorems; significant trial conduct of the empirical distribution and order information; asymptotic behavior of estimators and checks with certain consideration to LR, ranking, and Wald checks. must haves: BST 631 and 632. four hours. Spring (atypical years).

    BST 740: Bayesian evaluation

    To introduce the student to the fundamental principles and tools of Bayesian statistics and most significantly to Bayesian records analysis innovations. a major goal is to set up a company foundation within the self-discipline upon which the purposes of statistical and epidemiologic inference could be constructed. The functional part of the route may be based on Bugs (either WinBugs or OpenBugs), might be accessed through R with the existing equipment for the interface (R packages: R2WinBugs or BRugs, coda). this will enable individuals to take the practical examples the entire technique to the reporting stage in terms of tabulations and pics. necessities: BST 632. three hours. Fall (even years).

    BST 741: superior Bayesian evaluation II

    to illustrate advanced tactics to Bayesian modeling and computation in facts. We start with a quick description of the simple principle and ideas of Bayesian information. We then analyze superior tools in Bayesian modeling and computation. quite a lot of models are covered, together with multilevel/hierarchical linear and generalized linear models, models for strong inference, mixture fashions, multivariate models, nonlinear models, missing data, and Bayesian model selection. We also introduce some utilized areas of modern Bayesian strategies, reminiscent of genetics/genomics and clinical trials.

    The functional part of the path could be in response to Bugs (either WinBugs or OpenBugs), probably accessed via R with the latest tools for the interface (R packages: R2WinBUGS or BRugs, coda). this will permit individuals to take practical examples the entire way to the reporting stage when it comes to tabulations, snap shots, and so forth. prerequisites: BST 631 and 632. BST 740 could be valuable but no longer completely required. three hours. Fall (ordinary years).

    BST 750: Stochastic Modeling

    Poisson tactics; random walks; fundamental diffusion and branching tactics; recurrent events; Markov chains in discrete and continuous time; delivery and dying system; queuing methods; functions to survival and other biomedical fashions. Prerequisite: BST 632. three hours. As mandatory.

    BST 760: Generalized Linear and mixed models

    Generalized linear fashions; mixed fashions; and generalized estimating equations. Prerequisite: BST 723. three hours. Spring (even years).

    BST 765: superior Computational strategies

    Numerical algorithms beneficial in biostatistics together with likelihood maximization the use of the Newton-Raphson formula, EM algorithm, numerical integration the use of quadratic and Monte-Carlo strategies, interpolation using splines, random variate generation strategies, information augmentation algorithm, and MCMC and metropolis-Hastings algorithm; randomization exams; resampling plans together with bootstrap and jackknife. prerequisites: BST 632. three hours. Fall (even years).

    BST 775: Statistical strategies for Genetic evaluation I

    This direction will deliver a statistical foundation for describing adaptation in qualitative (disease) and quantitative characteristics. this could encompass decomposition of trait variation into accessories representing genes, ambiance and gene-environment interaction. Resemblance between loved ones and heritability can be described. important issues of discussion will include oligogenic and polygenic features, complicated segregations analysis, methods of mapping and characterizing primary and complex trait loci. necessities: BST 623, BST 632, and BST 675. It is thought that college students are relaxed with regression idea, covariance, correlation, and chance thought. involved students are urged to contact the instructors with concerns regarding assumed advantage. 3 hours. Fall (atypical years).

    BST 776: Statistical methods for Genetic evaluation II

    This course builds on the capabilities received in BST 775 with rigorous mathematical and statistical medication of methods for localizing genes and environmental outcomes concerned in the etiology of complicated qualities using case-control and pedigree records. prerequisites: BST 775; expertise of SAS and programming languages reminiscent of C++, and primary competencies of multivariate methods and Markov chain idea is particularly informed. three hours. Spring (even years).

    BST 790: DrPH utilized observe adventure (Practicum)

    All DrPH students will complete an utilized follow journey (Practicum) in which the student will complete as a minimum one challenge this is meaningful for a public health corporation and to superior public health observe. apart from self-reflection on the utilized observe event, the pupil will produce a final product that addresses the talents listed beneath. This may also take the type of a written document, portfolio, or other deliverable as determined by way of the pupil, marketing consultant, and/or Practicum preceptor, based on departmental guidelines. flow/No flow. three-6 hours.

    BST 793: Biostatistics publish-doctoral Seminar collection

    This path gives a chance for publish-doctoral students to study ongoing research in the box of biostatistics, scientific trials, and statistical genetics. Reserved for BST Postdoctoral college students. move/No pass. three hours. Fall/Spring

    BST 795: advanced special topics

    This route is designed to cowl superior particular themes in Biostatistics that are not coated in average seven hundred stage lessons, however suited for doctoral students in Biostatistics. prerequisites: BST 622 and 632. flow/No flow. 1-3 hours.

    BST 798: Non-Dissertation research

    Non-dissertation research with the counsel of applicable school. research carried out earlier than admission to candidacy for the doctoral diploma. pass/No flow. 1-12 hours.

    BST 799: Doctoral Dissertation research

    Doctoral level dissertation research below the course of the dissertation research committee. Prerequisite: Admission to candidacy for PhD pass/No pass. 1-12 hours.


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