Analysing microbiological data: Tobit or not Tobit?

M. F. Lorimer; A. Kiermeier

doi:10.1016/j.ijfoodmicro.2007.02.001

Analysing microbiological data: Tobit or not Tobit?

M. F. Lorimer, A. Kiermeier

Research output: Contribution to journal › Article › peer-review

67 Citations (Scopus)

Abstract

In this paper, methods used to collect microbiological data and the common statistical technique used to analyse such data are discussed. An alternative statistical approach, considered more appropriate for many microbial datasets is suggested. The effectiveness of this method is demonstrated using a simulation study and then, for a practical example, its application in a study on the effectiveness of a decontamination process for chicken carcases.

Original language	English
Pages (from-to)	313-318
Number of pages	6
Journal	International Journal of Food Microbiology
Volume	116
Issue number	3
DOIs	https://doi.org/10.1016/j.ijfoodmicro.2007.02.001
Publication status	Published or Issued - 30 May 2007
Externally published	Yes

Keywords

Censored regression
Limit of detection
Maximum likelihood
Non-detect
Tobit

ASJC Scopus subject areas

Food Science
Microbiology

Access to Document

10.1016/j.ijfoodmicro.2007.02.001

Cite this

@article{18231d8bc2734329b36a4cd87fbd2142,

title = "Analysing microbiological data: Tobit or not Tobit?",

abstract = "In this paper, methods used to collect microbiological data and the common statistical technique used to analyse such data are discussed. An alternative statistical approach, considered more appropriate for many microbial datasets is suggested. The effectiveness of this method is demonstrated using a simulation study and then, for a practical example, its application in a study on the effectiveness of a decontamination process for chicken carcases.",

keywords = "Censored regression, Limit of detection, Maximum likelihood, Non-detect, Tobit",

author = "Lorimer, {M. F.} and A. Kiermeier",

year = "2007",

month = may,

day = "30",

doi = "10.1016/j.ijfoodmicro.2007.02.001",

language = "English",

volume = "116",

pages = "313--318",

journal = "International Journal of Food Microbiology",

issn = "0168-1605",

publisher = "Elsevier B.V.",

number = "3",

}

TY - JOUR

T1 - Analysing microbiological data

T2 - Tobit or not Tobit?

AU - Lorimer, M. F.

AU - Kiermeier, A.

PY - 2007/5/30

Y1 - 2007/5/30

N2 - In this paper, methods used to collect microbiological data and the common statistical technique used to analyse such data are discussed. An alternative statistical approach, considered more appropriate for many microbial datasets is suggested. The effectiveness of this method is demonstrated using a simulation study and then, for a practical example, its application in a study on the effectiveness of a decontamination process for chicken carcases.

AB - In this paper, methods used to collect microbiological data and the common statistical technique used to analyse such data are discussed. An alternative statistical approach, considered more appropriate for many microbial datasets is suggested. The effectiveness of this method is demonstrated using a simulation study and then, for a practical example, its application in a study on the effectiveness of a decontamination process for chicken carcases.

KW - Censored regression

KW - Limit of detection

KW - Maximum likelihood

KW - Non-detect

KW - Tobit

UR - http://www.scopus.com/inward/record.url?scp=34247169933&partnerID=8YFLogxK

U2 - 10.1016/j.ijfoodmicro.2007.02.001

DO - 10.1016/j.ijfoodmicro.2007.02.001

M3 - Article

C2 - 17382420

AN - SCOPUS:34247169933

SN - 0168-1605

VL - 116

SP - 313

EP - 318

JO - International Journal of Food Microbiology

JF - International Journal of Food Microbiology

IS - 3

ER -

Analysing microbiological data: Tobit or not Tobit?

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this