A computer-implemented method for determining a concentration c of one or more analytes in at least one sample of a body fluid, thereby taking into account disturbances having an impact on a detection reaction, the method comprising the following steps: a) recording a plurality of measurement values by monitoring a time development of at least one measurement value indicating a progress of a detection reaction of at least one test substance and the sample of the body fluid, and providing at least one measurement curve F(t) which contains the measurement values, wherein at least an evaluation part of the measurement curve has an exponential characteristic, wherein the measurement values contained in the measurement curve are acquired at differing points in time, wherein the detection reaction is known to be influenced by both a concentration c of an analyte to be detected in the body fluid and a set of disturbance variables Y, each disturbance variable characterizing at least one of a state of the sample of the body fluid and a condition of the detection reaction; b) determining an end value of the measurement curve provided in step a), wherein the end value forms a first variable x 1, wherein the end value is determined from at least one measurement value of the measurement curve, for example, by monitoring or evaluating a slope or a change in the measurement curve, and, once the slope or change reaches a predetermined threshold, by determining an end point of the detection reaction, and by choosing some or more of the measurement values acquired at or after this end point as the end value and/or by deriving the end value by combining the measurement values, such as by forming a mean end value; c) deriving at least one fit parameter from the measurement curve provided in step a) by taking into account the exponential characteristic of at least the evaluation part of the measurement curve, wherein the fit parameter forms at least one second variable x 2; d) deriving the concentration c of the analyte by using at least one multivariate evaluation algorithm, the multivariate evaluation algorithm being adapted to combine the first variable x 1 provided by step b) and the second variable x 2 provided by step c) into a vector (x 1, x 2), wherein a weighted average of the concentration c is derived from a result vector (c, Y) of at least two procedures of the method and thereby provides the determined concentration, each procedure providing a result vector (c, Y) via a matrix transformation from the vector (x 1, x 2), comprising different x 1 and x 2 values for each procedure, wherein c is the concentration of one chosen analyte, each procedure being based on a variation of one type of disturbance variable Y. a) recording a plurality of measurement values by monitoring a time development of at least one measurement value indicating a progress of a detection reaction of at least one test substance and the sample of the body fluid, and providing at least one measurement curve F(t) which contains the measurement values, wherein at least an evaluation part of the measurement curve has an exponential characteristic, wherein the measurement values contained in the measurement curve are acquired at differing points in time, wherein the detection reaction is known to be influenced by both a concentration c of an analyte to be detected in the body fluid and a set of disturbance variables Y, each disturbance variable characterizing at least one of a state of the sample of the body fluid and a condition of the detection reaction; b) determining an end value of the measurement curve provided in step a), wherein the end value forms a first variable x 1, wherein the end value is determined from at least one measurement value of the measurement curve, for example, by monitoring or evaluating a slope or a change in the measurement curve, and, once the slope or change reaches a predetermined threshold, by determining an end point of the detection reaction, and by choosing some or more of the measurement values acquired at or after this end point as the end value and/or by deriving the end value by combining the measurement values, such as by forming a mean end value; c) deriving at least one fit parameter from the measurement curve provided in step a) by taking into account the exponential characteristic of at least the evaluation part of the measurement curve, wherein the fit parameter forms at least one second variable x 2; d) deriving the concentration c of the analyte by using at least one multivariate evaluation algorithm, the multivariate evaluation algorithm being adapted to combine the first variable x 1 provided by step b) and the second variable x 2 provided by step c) into a vector (x 1, x 2), wherein a weighted average of the concentration c is derived from a result vector (c, Y) of at least two procedures of the method and thereby provides the determined concentration, each procedure providing a result vector (c, Y) via a matrix transformation from the vector (x 1, x 2), comprising different x 1 and x 2 values for each procedure, wherein c is the concentration of one chosen analyte, each procedure being based on a variation of one type of disturbance variable Y.