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                    John Gay, DVM PhD DACVPM               AAHP                  FDIU             VCS

VMS 576 - Introduction to Clinical Research

Veterinary Clinical Research Links & Resources

Ver. 3.0   Initial 9/05/06 Updated 02/07/12

The purpose of this web page is to provide links to on-line resources for clinical research and EBVM. I update this list irregularly as I happen onto good on-line resources and when I need to use it for teaching.  Please let me know if you find broken links, mistakes or resources that I've overlooked.

Ceteris paribus "with all other things being the same" (wikipedia latin phrases)

Contents:

Current Class Information:

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Recommended Books:

(Note: The Amazon links are provided for your convenience, not as a recommended source)

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WSU Specific Resources:

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DOE - Experimental and Observational Study Design, Design of Experiments:

Without good experimental design, we often end up doing PARC analysis (Planning After the Research is Complete) - (hint: invert) - Stu Hunter per Econotec pdf

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Biostatistics Resources - Sample Size:

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Biostatistics Resources - Statistical Analysis

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On-Farm Studies:   Methods for design, execution and analysis

Note: This section focuses on on-farm comparative research resources rather than traditional herd problem and epidemiologic study resources. For the latter, see:

  • papers:
    • Aaron DK, VW Hays (2004). How many pigs? Statistical power considerations in swine nutrition experiments. J Anim Sci 82: E245-E254 html  pdf
    • Anon. Some experimental design and statistical criteria for analysis of studies in manuscripts submitted for consideration for publication Animal Feed Sci Techn 129:1-11, 2006 - pdf
    • Bailey JA (1982). Implications of "muddling through" for wildlife management. Wildl Soc Bull 10(4):363-369.  pdf  pdf2
    • Baum DH et al. (2005). Statistical process control methods used to evaluate the serologic responses of pigs infected with three Salmonella serovars. J Swine Health Production 13(6):304–313 - html  pdf
    • Berndtson WE (1991). A simple, rapid and reliable method for selecting or assessing the number of replicates for animal experiments. J Anim Sci 69:67-76 - pdf
    • Coe R (2007). Analyzing data from participatory on-farm trials. African Statistics J 4:89-121 - pdf
    • Cripps PJ (2008). Statistical and epidemiological methodology for sheep research: The needs, the problems, the solutions. Small Ruminant Res 76(1-2):26-30 - html
    • DiCostanzo A (2010). Population data analyses to evaluate trends in animal production systems. J Anim Sci 88: E1-E2 - html pdf   
    • De Vries A, JK Reneau (2010). Application of statistical process control charts to monitor changes in animal production systems.  J Anim Sci 88: E11-E24 - pdf   pdf2
    • Dorfman JH (1996). Pseudorandom sampling has a real effect on test size. The American Statistician 50(2):151-155 - pdf
    • Eberhardt LI, Thomas JM (1991). Designing environmental field studies. Ecological Monographs 61(1):53-73, 1991 - pdf
    • Engstrom M, W Sanchez, W Stone, NR StPierre (2010). Applications of population data analysis in on-farm dairy trials. J Anim Sci 88: E25-E31 - html  pdf
    • Ferguson JD, Beede DK, Shaver RD, et al. (2000). A method to analyze production responses in dairy herds. J Dairy Sci 83(7):1530-1542 - pdf
    • Galligan D (2005). Economics into practice - Using economics on the dairy farm. Cattle Practice 13:211-217
    • Galligan DT, Chalupa W, Ramberg CF (1991). Application of type-I and type-II errors in dairy farm management decision-making. J Dairy Sci 74(3):902-910 - pdf
    • Gill JL (1987). Biased statistical analysis when the animal is not the experimental unit. JAVMA 190:5-6
    • Gill JL (1989). Statistical aspects of design and analysis of experiments with animals in pens. J Anim Breed Genet 106:321-334
    • Gould WR, RL Steiner (2002). Viewpoint: Improving range science through the appropriate use of statistics. J Range Manage 55(6):526-529. pdf  pdf2
    • Heaton K, DR Zobell, D Cornforth (2006). A successful collaborative research project: Determining the effects of delayed castration on beef cattle production and carcass traits and consumer acceptability.  J Extension 44(2): - html
    • Hurlbert SH (1984). Pseudoreplication and the design of ecological field experiments. Ecol Monogr 54:198–211. pdf  pdf2
    • Jones R, M Langemeir (2010). A review of population data utilization in beef cattle research. J Anim Sci 88: E32-E37 -  html  pdf
    • Johnston LJ, Renteria A, Hannon MR (2003). Improving validity of on-farm research. J Swine Health Prod11(5):240-246  html  pdf 
    • Koenig, RJ, M Winger, B Kitchen (2000). Simple, low cost data collection methods for agricultural field studies.  J Extension 38(2): - html
    • Lawrence D, N Christodoulou, J Whish (2007). Designing better on-farm research in Australia using a participatory workshop process. Field Crops Research 104(1-3):157-164 - pdf
    • Lightfoot C, R Barke (1988). On-farm trials: A survey of methods. Agricultural Administration and Extension 30(1):15-23
    • Luschei EC et al. (2009). Convenience sample of on-farm research cooperators representative of Wisconsin farmers. Weed Technology 23(2):300-307 - abstract
    • Lukas JM, DM Hawkins, ML Kinsel, JK Reneau (2005). Bulk tank somatic cell counts analyzed by statistical process control tools to identify and monitor subclinical mastitis incidence. J Dairy Sci 88(11):3944–3952 - pdf
    • Macnab J (1983). Wildlife management as scientific experimentation. Wildl Soc Bull 11(4):397-401. pdf  pdf2
    • Morton J, B Adolph, S Ashley, D Romney (2002). Conceptual, methodological and institutional issues in participatory livestock production research, 2002. Livestock Research for Rural Development 14(4) - html  pdf
    • Murphy DD, BD Noon (1991). Coping with uncertainty in wildlife biology. J Wildl Manage 55(4):773-782.  pdf  pdf2
    • Norman, D, S Freyenberger, B Schurle (1997). County extension agents and on-farm research work: Results of a Kansas survey. J Extension 35(5): - html
    • Polson DD, WE Marsh, GD Dial (1988). Population-based problem solving in swine herds. J Swine Health Production 6(6):267–272 - pdf
    • Pritchett J, D Thilmany, K Johnson (2005). Animal disease economic impacts: A survey of literature and typology of research approaches. Intl Food Agribusiness Mgmt Rev 8(1):23-45 - pdf
    • Robinson PH, J Wiseman, P Uden, G Mateos (2006). Some experimental design and statistical criteria for analysis of studies in manuscripts submitted for consideration for publication. Animal Feed Science and Technology 129:1-11 -  pdf
    • Rzewnicki, PE, R Thompson, GW Lesoing et al. (1998). On-farm experiment designs and implications for locating research sites. Am J Alternative Agric3(4):168-173
    • Sayre NF (2004). Viewpoint: The need for qualitative research to understand ranch management. (J Range Manage 57(6):668-674) - pdf  pdf2
    • Stein T, Martineau G, Morris R, Charette R (1987). A new approach to managing health in swine operations. Can Vet J 28(6):355-362 - pdf
    • St Pierre NR (2007). Design and analysis of pen studies in the animal sciences. J Dairy Sci 90(suppl 1):E87-E99 - pdf
    • St Pierre, LR Jones (1999). Interpretation and design of nonregulatory on-farm feeding trials. J Dairy Sci 82(Suppl. 2):177–182 - pdf
    • Tempelman RJ (2004). Experimental design and statistical methods for classical and bioequivalence hypothesis testing with an application to dairy nutrition studies. J Anim Sci 82:E162-172 - html  pdf
    • Tempelman RJ (2009). Invited review: Assessing experimental designs for research conducted on commercial dairies. J Dairy Sci 92(1):1-15 - html  pdf
    • Thacker BJ (2005). Understanding process capability in statistical process control. J Swine Health Prod 13(1):53-55. html 
    • Tylutki TP, Fox DG (2002). Mooooving toward six sigma. Quality Progress 35(2):34-41.
    • Tylutki TP, Fox DG, McMahon M (2005). Implementation of nutrient management planning on a dairy farm. Prof Anim Sci 20:58-65. - pdf
    • Wester, DV (1992). Viewpoint: Replication, randomization, and statistics in range research, J Range Manage 45(3):285-290. - pdf  pdf2
  • collections:
    • U Reading Statistical Services Center - publications
    • Ruegg PL, ed. (2006). Barnyard Epidemiology and Performance Assessment. Vet Clinics NA Food Anim Pract 22(1)
      • Ruegg PL (2006). Basic Epidemiologic Concepts Related to Assessment of Animal Health and Performance. Vet Clin NA- Food Anim Pract 22(1):1-19
      • Kelton DF (2006). Basic Epidemiologic Concepts Related to Assessment of Animal Health and Performance. Vet Clin NA- Food Anim Pract 22(1):21-33 
      • Corbin MJ, D Griffin (2006). Assessing Performance of Feedlot Operations Using Epidemiology. Vet Clin NA- Food Anim Pract 22(1):35-51
      • Rae DO (2006). Assessing Performance of Cow-Calf Operations Using Epidemiology.  Vet Clin NA- Food Anim Pract 22(1):53-74
      • Sanderson MW (2006). Designing and running clinical trials on farms. Vet Clin NA- Food Anim Pract 22(1):103-123
      • Slenning BD (2006). Hood of the truck statistics for food animal practitioners. Vet Clin NA- Food Anim Pract 22(1):149-170
      • Reneau JK, J Lukas (2006). Using statistical process control methods to improve herd performance. Vet Clin NA- Food Anim Pract 22(1):171-193  
      • Galligan D (2006). Economic assessment of animal health performance. Vet Clin NA- Food Anim Pract 22(1):207-227
  • on-line materials:
  • courses and study guides:

other ag-related resources of mine:

wiki:

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Literature Searching & Library Resources:

Duke University Medical Center Library Sites (Connie Schardt per Vicki Croft):

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Reference Management:

Science, Causation, and the Scientific Method:

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Scientific Presentations:

people:

wiki:

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Scientific Writing:

papers:

people:

books:

course materials:

  • How to write (and publish) a scientific paper in hydrology (G Bloschl EGU 2011) - pdf

software:

wiki:

blogs:

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Grantsmanship:

university websites:

papers:

  • Inouye, SK, and Fiellin, DA (2005). An evidence-based guide to writing grant proposals for clinical research. Ann Intern Med 142: 274.

texts:

  • PLOS
    • Ten Simple Rules for Getting Grants PLoS Comput Biol 2(2)
  • The Art of Grantsmanship (Jacob Kraicer, University of Toronto)
  • The Scientist
    • How to Wow a Study Section: A Grantsmanship Lession (off site html)
    • Ten Ways to Write a Better Grant (21(1):71)
    • A Winning Strategy for Grant Applications: Focus on Impact 11(9):13 (off site pdf)

    Heilmeier Catechism - wiki

    1. What are you trying to do? What is the problem and why is it hard?
    2. How is it done now, and what are the limitations of the current practice?
    3. What's new in your approach, and why do you think it will be successful?
    4. If you're successful, what difference will it make?
    5. How do our customers get paid?
    6. What are the risks?
    7. How much will it cost?
    8. How long will it take?
    9. What are the mid-term (intermediate results) and final exams? How will you measure progress?

blogs:

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Evidence-based Medicine and Literature:

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Advice:

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Other Information: